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Commit 5225672d authored by Ilya Lavrenov's avatar Ilya Lavrenov
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added edge-aware demosaicing and bayer to bgra conversion

parent 4d059e9e
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Showing with 1679 additions and 1051 deletions
modules/imgproc/include/opencv2/imgproc/imgproc.hpp
View file @ 5225672d
...@@ -1048,7 +1048,18 @@ enum ...@@ -1048,7 +1048,18 @@ enum
COLOR_RGBA2mRGBA = 125, COLOR_RGBA2mRGBA = 125,
COLOR_mRGBA2RGBA = 126, COLOR_mRGBA2RGBA = 126,
COLOR_COLORCVT_MAX = 127 // Edge-Aware Demosaicing
COLOR_BayerBG2BGR_EA = 127,
COLOR_BayerGB2BGR_EA = 128,
COLOR_BayerRG2BGR_EA = 129,
COLOR_BayerGR2BGR_EA = 130,
COLOR_BayerBG2RGB_EA = COLOR_BayerRG2BGR_EA,
COLOR_BayerGB2RGB_EA = COLOR_BayerGR2BGR_EA,
COLOR_BayerRG2RGB_EA = COLOR_BayerBG2BGR_EA,
COLOR_BayerGR2RGB_EA = COLOR_BayerGB2BGR_EA,
COLOR_COLORCVT_MAX = 131
}; };
...@@ -1252,6 +1263,9 @@ protected: ...@@ -1252,6 +1263,9 @@ protected:
Point2f bottomRight; Point2f bottomRight;
}; };
// main function for all demosaicing procceses
CV_EXPORTS_W void demosaicing(InputArray _src, OutputArray _dst, int code, int dcn = 0);
} }
#endif /* __cplusplus */ #endif /* __cplusplus */
......
modules/imgproc/include/opencv2/imgproc/types_c.h
View file @ 5225672d
...@@ -310,7 +310,18 @@ enum ...@@ -310,7 +310,18 @@ enum
CV_RGBA2mRGBA = 125, CV_RGBA2mRGBA = 125,
CV_mRGBA2RGBA = 126, CV_mRGBA2RGBA = 126,
CV_COLORCVT_MAX = 127 // Edge-Aware Demosaicing
CV_BayerBG2BGR_EA = 127,
CV_BayerGB2BGR_EA = 128,
CV_BayerRG2BGR_EA = 129,
CV_BayerGR2BGR_EA = 130,
CV_BayerBG2RGB_EA = CV_BayerRG2BGR_EA,
CV_BayerGB2RGB_EA = CV_BayerGR2BGR_EA,
CV_BayerRG2RGB_EA = CV_BayerBG2BGR_EA,
CV_BayerGR2RGB_EA = CV_BayerGB2BGR_EA,
CV_COLORCVT_MAX = 131
}; };
......
modules/imgproc/perf/perf_cvt_color.cpp
View file @ 5225672d
...@@ -274,3 +274,28 @@ PERF_TEST_P(Size_CvtMode2, cvtColorYUV420, ...@@ -274,3 +274,28 @@ PERF_TEST_P(Size_CvtMode2, cvtColorYUV420,
SANITY_CHECK(dst, 1); SANITY_CHECK(dst, 1);
} }
CV_ENUM(EdgeAwareBayerMode, COLOR_BayerBG2BGR_EA, COLOR_BayerGB2BGR_EA, COLOR_BayerRG2BGR_EA, COLOR_BayerGR2BGR_EA)
typedef std::tr1::tuple<Size, EdgeAwareBayerMode> EdgeAwareParams;
typedef perf::TestBaseWithParam<EdgeAwareParams> EdgeAwareDemosaicingTest;
PERF_TEST_P(EdgeAwareDemosaicingTest, demosaicingEA,
testing::Combine(
testing::Values(szVGA, sz720p, sz1080p, Size(130, 60)),
testing::ValuesIn(EdgeAwareBayerMode::all())
)
)
{
Size sz = get<0>(GetParam());
int mode = get<1>(GetParam());
Mat src(sz, CV_8UC1);
Mat dst(sz, CV_8UC3);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() cvtColor(src, dst, mode, 3);
SANITY_CHECK(dst, 1);
}
modules/imgproc/src/color.cpp
View file @ 5225672d
...@@ -91,7 +91,6 @@ ...@@ -91,7 +91,6 @@
#include "precomp.hpp" #include "precomp.hpp"
#include <limits> #include <limits>
#include <iostream>
namespace cv namespace cv
{ {
...@@ -1794,947 +1793,6 @@ struct Luv2RGB_b ...@@ -1794,947 +1793,6 @@ struct Luv2RGB_b
}; };
//////////////////////////// Bayer Pattern -> RGB conversion /////////////////////////////
template<typename T>
class SIMDBayerStubInterpolator_
{
public:
int bayer2Gray(const T*, int, T*, int, int, int, int) const
{
return 0;
}
int bayer2RGB(const T*, int, T*, int, int) const
{
return 0;
}
};
#if CV_SSE2
class SIMDBayerInterpolator_8u
{
public:
SIMDBayerInterpolator_8u()
{
use_simd = checkHardwareSupport(CV_CPU_SSE2);
}
int bayer2Gray(const uchar* bayer, int bayer_step, uchar* dst,
int width, int bcoeff, int gcoeff, int rcoeff) const
{
if( !use_simd )
return 0;
__m128i _b2y = _mm_set1_epi16((short)(rcoeff*2));
__m128i _g2y = _mm_set1_epi16((short)(gcoeff*2));
__m128i _r2y = _mm_set1_epi16((short)(bcoeff*2));
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 14 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_srli_epi16(_mm_slli_epi16(r0, 8), 7),
_mm_srli_epi16(_mm_slli_epi16(r2, 8), 7));
__m128i b0 = _mm_add_epi16(b1, _mm_srli_si128(b1, 2));
b1 = _mm_slli_epi16(_mm_srli_si128(b1, 2), 1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 7), _mm_srli_epi16(r2, 7));
__m128i g1 = _mm_srli_epi16(_mm_slli_epi16(r1, 8), 7);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_slli_epi16(_mm_srli_si128(g1, 2), 2);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_slli_epi16(_mm_add_epi16(r0, _mm_srli_si128(r0, 2)), 2);
r0 = _mm_slli_epi16(r0, 3);
g0 = _mm_add_epi16(_mm_mulhi_epi16(b0, _b2y), _mm_mulhi_epi16(g0, _g2y));
g1 = _mm_add_epi16(_mm_mulhi_epi16(b1, _b2y), _mm_mulhi_epi16(g1, _g2y));
g0 = _mm_add_epi16(g0, _mm_mulhi_epi16(r0, _r2y));
g1 = _mm_add_epi16(g1, _mm_mulhi_epi16(r1, _r2y));
g0 = _mm_srli_epi16(g0, 2);
g1 = _mm_srli_epi16(g1, 2);
g0 = _mm_packus_epi16(g0, g0);
g1 = _mm_packus_epi16(g1, g1);
g0 = _mm_unpacklo_epi8(g0, g1);
_mm_storeu_si128((__m128i*)dst, g0);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGB(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
if( !use_simd )
return 0;
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
__m128i delta1 = _mm_set1_epi16(1), delta2 = _mm_set1_epi16(2);
__m128i mask = _mm_set1_epi16(blue < 0 ? -1 : 0), z = _mm_setzero_si128();
__m128i masklo = _mm_set1_epi16(0x00ff);
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 42 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_and_si128(r0, masklo), _mm_and_si128(r2, masklo));
__m128i b0 = _mm_add_epi16(b1, _mm_srli_si128(b1, 2));
b1 = _mm_srli_si128(b1, 2);
b1 = _mm_srli_epi16(_mm_add_epi16(b1, delta1), 1);
b0 = _mm_srli_epi16(_mm_add_epi16(b0, delta2), 2);
b0 = _mm_packus_epi16(b0, b1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 8), _mm_srli_epi16(r2, 8));
__m128i g1 = _mm_and_si128(r1, masklo);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_srli_si128(g1, 2);
g0 = _mm_srli_epi16(_mm_add_epi16(g0, delta2), 2);
g0 = _mm_packus_epi16(g0, g1);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_add_epi16(r0, _mm_srli_si128(r0, 2));
r1 = _mm_srli_epi16(_mm_add_epi16(r1, delta1), 1);
r0 = _mm_packus_epi16(r0, r1);
b1 = _mm_and_si128(_mm_xor_si128(b0, r0), mask);
b0 = _mm_xor_si128(b0, b1);
r0 = _mm_xor_si128(r0, b1);
// b1 g1 b1 g1 ...
b1 = _mm_unpackhi_epi8(b0, g0);
// b0 g0 b2 g2 b4 g4 ....
b0 = _mm_unpacklo_epi8(b0, g0);
// r1 0 r3 0 ...
r1 = _mm_unpackhi_epi8(r0, z);
// r0 0 r2 0 r4 0 ...
r0 = _mm_unpacklo_epi8(r0, z);
// 0 b0 g0 r0 0 b2 g2 r2 0 ...
g0 = _mm_slli_si128(_mm_unpacklo_epi16(b0, r0), 1);
// 0 b8 g8 r8 0 b10 g10 r10 0 ...
g1 = _mm_slli_si128(_mm_unpackhi_epi16(b0, r0), 1);
// b1 g1 r1 0 b3 g3 r3 ....
r0 = _mm_unpacklo_epi16(b1, r1);
// b9 g9 r9 0 ...
r1 = _mm_unpackhi_epi16(b1, r1);
b0 = _mm_srli_si128(_mm_unpacklo_epi32(g0, r0), 1);
b1 = _mm_srli_si128(_mm_unpackhi_epi32(g0, r0), 1);
_mm_storel_epi64((__m128i*)(dst-1+0), b0);
_mm_storel_epi64((__m128i*)(dst-1+6*1), _mm_srli_si128(b0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*2), b1);
_mm_storel_epi64((__m128i*)(dst-1+6*3), _mm_srli_si128(b1, 8));
g0 = _mm_srli_si128(_mm_unpacklo_epi32(g1, r1), 1);
g1 = _mm_srli_si128(_mm_unpackhi_epi32(g1, r1), 1);
_mm_storel_epi64((__m128i*)(dst-1+6*4), g0);
_mm_storel_epi64((__m128i*)(dst-1+6*5), _mm_srli_si128(g0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*6), g1);
}
return (int)(bayer - (bayer_end - width));
}
bool use_simd;
};
#else
typedef SIMDBayerStubInterpolator_<uchar> SIMDBayerInterpolator_8u;
#endif
template<typename T, class SIMDInterpolator>
static void Bayer2Gray_( const Mat& srcmat, Mat& dstmat, int code )
{
SIMDInterpolator vecOp;
const int R2Y = 4899;
const int G2Y = 9617;
const int B2Y = 1868;
const int SHIFT = 14;
const T* bayer0 = (const T*)srcmat.data;
int bayer_step = (int)(srcmat.step/sizeof(T));
T* dst0 = (T*)dstmat.data;
int dst_step = (int)(dstmat.step/sizeof(T));
Size size = srcmat.size();
int bcoeff = B2Y, rcoeff = R2Y;
int start_with_green = code == CV_BayerGB2GRAY || code == CV_BayerGR2GRAY;
bool brow = true;
if( code != CV_BayerBG2GRAY && code != CV_BayerGB2GRAY )
{
brow = false;
std::swap(bcoeff, rcoeff);
}
dst0 += dst_step + 1;
size.height -= 2;
size.width -= 2;
for( ; size.height-- > 0; bayer0 += bayer_step, dst0 += dst_step )
{
unsigned t0, t1, t2;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
if( size.width <= 0 )
{
dst[-1] = dst[size.width] = 0;
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1])*rcoeff;
t1 = (bayer[bayer_step] + bayer[bayer_step+2])*bcoeff;
t2 = bayer[bayer_step+1]*(2*G2Y);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
bayer++;
dst++;
}
int delta = vecOp.bayer2Gray(bayer, bayer_step, dst, size.width, bcoeff, G2Y, rcoeff);
bayer += delta;
dst += delta;
for( ; bayer <= bayer_end - 2; bayer += 2, dst += 2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
t0 = (bayer[2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3])*bcoeff;
t2 = bayer[bayer_step+2]*(2*G2Y);
dst[1] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
}
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
bayer++;
dst++;
}
dst0[-1] = dst0[0];
dst0[size.width] = dst0[size.width-1];
brow = !brow;
std::swap(bcoeff, rcoeff);
start_with_green = !start_with_green;
}
size = dstmat.size();
dst0 = (T*)dstmat.data;
if( size.height > 2 )
for( int i = 0; i < size.width; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width; i++ )
{
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
}
template<typename T, class SIMDInterpolator>
static void Bayer2RGB_( const Mat& srcmat, Mat& dstmat, int code )
{
SIMDInterpolator vecOp;
const T* bayer0 = (const T*)srcmat.data;
int bayer_step = (int)(srcmat.step/sizeof(T));
T* dst0 = (T*)dstmat.data;
int dst_step = (int)(dstmat.step/sizeof(T));
Size size = srcmat.size();
int blue = code == CV_BayerBG2BGR || code == CV_BayerGB2BGR ? -1 : 1;
int start_with_green = code == CV_BayerGB2BGR || code == CV_BayerGR2BGR;
dst0 += dst_step + 3 + 1;
size.height -= 2;
size.width -= 2;
for( ; size.height-- > 0; bayer0 += bayer_step, dst0 += dst_step )
{
int t0, t1;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
if( size.width <= 0 )
{
dst[-4] = dst[-3] = dst[-2] = dst[size.width*3-1] =
dst[size.width*3] = dst[size.width*3+1] = 0;
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1] + 1) >> 1;
t1 = (bayer[bayer_step] + bayer[bayer_step+2] + 1) >> 1;
dst[-blue] = (T)t0;
dst[0] = bayer[bayer_step+1];
dst[blue] = (T)t1;
bayer++;
dst += 3;
}
int delta = vecOp.bayer2RGB(bayer, bayer_step, dst, size.width, blue);
bayer += delta;
dst += delta*3;
if( blue > 0 )
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += 6 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = (T)t0;
dst[0] = (T)t1;
dst[1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[2] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[4] = (T)t1;
}
}
else
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += 6 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[1] = (T)t0;
dst[0] = (T)t1;
dst[-1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[4] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[2] = (T)t1;
}
}
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-blue] = (T)t0;
dst[0] = (T)t1;
dst[blue] = bayer[bayer_step+1];
bayer++;
dst += 3;
}
dst0[-4] = dst0[-1];
dst0[-3] = dst0[0];
dst0[-2] = dst0[1];
dst0[size.width*3-1] = dst0[size.width*3-4];
dst0[size.width*3] = dst0[size.width*3-3];
dst0[size.width*3+1] = dst0[size.width*3-2];
blue = -blue;
start_with_green = !start_with_green;
}
size = dstmat.size();
dst0 = (T*)dstmat.data;
if( size.height > 2 )
for( int i = 0; i < size.width*3; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width*3; i++ )
{
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
}
/////////////////// Demosaicing using Variable Number of Gradients ///////////////////////
static void Bayer2RGB_VNG_8u( const Mat& srcmat, Mat& dstmat, int code )
{
const uchar* bayer = srcmat.data;
int bstep = (int)srcmat.step;
uchar* dst = dstmat.data;
int dststep = (int)dstmat.step;
Size size = srcmat.size();
int blueIdx = code == CV_BayerBG2BGR_VNG || code == CV_BayerGB2BGR_VNG ? 0 : 2;
bool greenCell0 = code != CV_BayerBG2BGR_VNG && code != CV_BayerRG2BGR_VNG;
// for too small images use the simple interpolation algorithm
if( MIN(size.width, size.height) < 8 )
{
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>( srcmat, dstmat, code );
return;
}
const int brows = 3, bcn = 7;
int N = size.width, N2 = N*2, N3 = N*3, N4 = N*4, N5 = N*5, N6 = N*6, N7 = N*7;
int i, bufstep = N7*bcn;
cv::AutoBuffer<ushort> _buf(bufstep*brows);
ushort* buf = (ushort*)_buf;
bayer += bstep*2;
#if CV_SSE2
bool haveSSE = cv::checkHardwareSupport(CV_CPU_SSE2);
#define _mm_absdiff_epu16(a,b) _mm_adds_epu16(_mm_subs_epu16(a, b), _mm_subs_epu16(b, a))
#endif
for( int y = 2; y < size.height - 4; y++ )
{
uchar* dstrow = dst + dststep*y + 6;
const uchar* srow;
for( int dy = (y == 2 ? -1 : 1); dy <= 1; dy++ )
{
ushort* brow = buf + ((y + dy - 1)%brows)*bufstep + 1;
srow = bayer + (y+dy)*bstep + 1;
for( i = 0; i < bcn; i++ )
brow[N*i-1] = brow[(N-2) + N*i] = 0;
i = 1;
#if CV_SSE2
if( haveSSE )
{
__m128i z = _mm_setzero_si128();
for( ; i <= N-9; i += 8, srow += 8, brow += 8 )
{
__m128i s1, s2, s3, s4, s6, s7, s8, s9;
s1 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1-bstep)),z);
s2 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-bstep)),z);
s3 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1-bstep)),z);
s4 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1)),z);
s6 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1)),z);
s7 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1+bstep)),z);
s8 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+bstep)),z);
s9 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1+bstep)),z);
__m128i b0, b1, b2, b3, b4, b5, b6;
b0 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s2,s8),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s7),
_mm_absdiff_epu16(s3, s9)));
b1 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s4,s6),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s3),
_mm_absdiff_epu16(s7, s9)));
b2 = _mm_slli_epi16(_mm_absdiff_epu16(s3,s7),1);
b3 = _mm_slli_epi16(_mm_absdiff_epu16(s1,s9),1);
_mm_storeu_si128((__m128i*)brow, b0);
_mm_storeu_si128((__m128i*)(brow + N), b1);
_mm_storeu_si128((__m128i*)(brow + N2), b2);
_mm_storeu_si128((__m128i*)(brow + N3), b3);
b4 = _mm_adds_epu16(b2,_mm_adds_epu16(_mm_absdiff_epu16(s2, s4),
_mm_absdiff_epu16(s6, s8)));
b5 = _mm_adds_epu16(b3,_mm_adds_epu16(_mm_absdiff_epu16(s2, s6),
_mm_absdiff_epu16(s4, s8)));
b6 = _mm_adds_epu16(_mm_adds_epu16(s2, s4), _mm_adds_epu16(s6, s8));
b6 = _mm_srli_epi16(b6, 1);
_mm_storeu_si128((__m128i*)(brow + N4), b4);
_mm_storeu_si128((__m128i*)(brow + N5), b5);
_mm_storeu_si128((__m128i*)(brow + N6), b6);
}
}
#endif
for( ; i < N-1; i++, srow++, brow++ )
{
brow[0] = (ushort)(std::abs(srow[-1-bstep] - srow[-1+bstep]) +
std::abs(srow[-bstep] - srow[+bstep])*2 +
std::abs(srow[1-bstep] - srow[1+bstep]));
brow[N] = (ushort)(std::abs(srow[-1-bstep] - srow[1-bstep]) +
std::abs(srow[-1] - srow[1])*2 +
std::abs(srow[-1+bstep] - srow[1+bstep]));
brow[N2] = (ushort)(std::abs(srow[+1-bstep] - srow[-1+bstep])*2);
brow[N3] = (ushort)(std::abs(srow[-1-bstep] - srow[1+bstep])*2);
brow[N4] = (ushort)(brow[N2] + std::abs(srow[-bstep] - srow[-1]) +
std::abs(srow[+bstep] - srow[1]));
brow[N5] = (ushort)(brow[N3] + std::abs(srow[-bstep] - srow[1]) +
std::abs(srow[+bstep] - srow[-1]));
brow[N6] = (ushort)((srow[-bstep] + srow[-1] + srow[1] + srow[+bstep])>>1);
}
}
const ushort* brow0 = buf + ((y - 2) % brows)*bufstep + 2;
const ushort* brow1 = buf + ((y - 1) % brows)*bufstep + 2;
const ushort* brow2 = buf + (y % brows)*bufstep + 2;
static const float scale[] = { 0.f, 0.5f, 0.25f, 0.1666666666667f, 0.125f, 0.1f, 0.08333333333f, 0.0714286f, 0.0625f };
srow = bayer + y*bstep + 2;
bool greenCell = greenCell0;
i = 2;
#if CV_SSE2
int limit = !haveSSE ? N-2 : greenCell ? std::min(3, N-2) : 2;
#else
int limit = N - 2;
#endif
do
{
for( ; i < limit; i++, srow++, brow0++, brow1++, brow2++, dstrow += 3 )
{
int gradN = brow0[0] + brow1[0];
int gradS = brow1[0] + brow2[0];
int gradW = brow1[N-1] + brow1[N];
int gradE = brow1[N] + brow1[N+1];
int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
int R, G, B;
if( !greenCell )
{
int gradNE = brow0[N4+1] + brow1[N4];
int gradSW = brow1[N4] + brow2[N4-1];
int gradNW = brow0[N5-1] + brow1[N5];
int gradSE = brow1[N5] + brow2[N5+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2] + srow[0];
Gs += srow[-bstep]*2;
Bs += srow[-bstep-1] + srow[-bstep+1];
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2] + srow[0];
Gs += srow[bstep]*2;
Bs += srow[bstep-1] + srow[bstep+1];
ng++;
}
if( gradW < T )
{
Rs += srow[-2] + srow[0];
Gs += srow[-1]*2;
Bs += srow[-bstep-1] + srow[bstep-1];
ng++;
}
if( gradE < T )
{
Rs += srow[2] + srow[0];
Gs += srow[1]*2;
Bs += srow[-bstep+1] + srow[bstep+1];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+2] + srow[0];
Gs += brow0[N6+1];
Bs += srow[-bstep+1]*2;
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-2] + srow[0];
Gs += brow2[N6-1];
Bs += srow[bstep-1]*2;
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-2] + srow[0];
Gs += brow0[N6-1];
Bs += srow[-bstep+1]*2;
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+2] + srow[0];
Gs += brow2[N6+1];
Bs += srow[-bstep+1]*2;
ng++;
}
R = srow[0];
G = R + cvRound((Gs - Rs)*scale[ng]);
B = R + cvRound((Bs - Rs)*scale[ng]);
}
else
{
int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2-1] + srow[-bstep*2+1];
Gs += srow[-bstep*2] + srow[0];
Bs += srow[-bstep]*2;
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2-1] + srow[bstep*2+1];
Gs += srow[bstep*2] + srow[0];
Bs += srow[bstep]*2;
ng++;
}
if( gradW < T )
{
Rs += srow[-1]*2;
Gs += srow[-2] + srow[0];
Bs += srow[-bstep-2]+srow[bstep-2];
ng++;
}
if( gradE < T )
{
Rs += srow[1]*2;
Gs += srow[2] + srow[0];
Bs += srow[-bstep+2]+srow[bstep+2];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+1] + srow[1];
Gs += srow[-bstep+1]*2;
Bs += srow[-bstep] + srow[-bstep+2];
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-1] + srow[-1];
Gs += srow[bstep-1]*2;
Bs += srow[bstep] + srow[bstep-2];
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-1] + srow[-1];
Gs += srow[-bstep-1]*2;
Bs += srow[-bstep-2]+srow[-bstep];
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+1] + srow[1];
Gs += srow[bstep+1]*2;
Bs += srow[bstep+2]+srow[bstep];
ng++;
}
G = srow[0];
R = G + cvRound((Rs - Gs)*scale[ng]);
B = G + cvRound((Bs - Gs)*scale[ng]);
}
dstrow[blueIdx] = CV_CAST_8U(B);
dstrow[1] = CV_CAST_8U(G);
dstrow[blueIdx^2] = CV_CAST_8U(R);
greenCell = !greenCell;
}
#if CV_SSE2
if( !haveSSE )
break;
__m128i emask = _mm_set1_epi32(0x0000ffff),
omask = _mm_set1_epi32(0xffff0000),
z = _mm_setzero_si128(),
one = _mm_set1_epi16(1);
__m128 _0_5 = _mm_set1_ps(0.5f);
#define _mm_merge_epi16(a, b) _mm_or_si128(_mm_and_si128(a, emask), _mm_and_si128(b, omask)) //(aA_aA_aA_aA) * (bB_bB_bB_bB) => (bA_bA_bA_bA)
#define _mm_cvtloepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpacklo_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (1f,2f,3f,4f)
#define _mm_cvthiepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpackhi_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (5f,6f,7f,8f)
#define _mm_loadl_u8_s16(ptr, offset) _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)((ptr) + (offset))), z) //load 8 uchars to 8 shorts
// process 8 pixels at once
for( ; i <= N - 10; i += 8, srow += 8, brow0 += 8, brow1 += 8, brow2 += 8 )
{
//int gradN = brow0[0] + brow1[0];
__m128i gradN = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow0), _mm_loadu_si128((__m128i*)brow1));
//int gradS = brow1[0] + brow2[0];
__m128i gradS = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow1), _mm_loadu_si128((__m128i*)brow2));
//int gradW = brow1[N-1] + brow1[N];
__m128i gradW = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N-1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int gradE = brow1[N+1] + brow1[N];
__m128i gradE = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N+1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
//int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
__m128i minGrad = _mm_min_epi16(_mm_min_epi16(gradN, gradS), _mm_min_epi16(gradW, gradE));
__m128i maxGrad = _mm_max_epi16(_mm_max_epi16(gradN, gradS), _mm_max_epi16(gradW, gradE));
__m128i grad0, grad1;
//int gradNE = brow0[N4+1] + brow1[N4];
//int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N4+1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16( _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N2)), _mm_loadu_si128((__m128i*)(brow0+N2+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2+1))));
__m128i gradNE = _mm_merge_epi16(grad0, grad1);
//int gradSW = brow1[N4] + brow2[N4-1];
//int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N4-1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N2)), _mm_loadu_si128((__m128i*)(brow2+N2-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2-1))));
__m128i gradSW = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNE), gradSW);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNE), gradSW);
//int gradNW = brow0[N5-1] + brow1[N5];
//int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N5-1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N3)), _mm_loadu_si128((__m128i*)(brow0+N3-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3-1))));
__m128i gradNW = _mm_merge_epi16(grad0, grad1);
//int gradSE = brow1[N5] + brow2[N5+1];
//int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N5+1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N3)), _mm_loadu_si128((__m128i*)(brow2+N3+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3+1))));
__m128i gradSE = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNW), gradSE);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNW), gradSE);
//int T = minGrad + maxGrad/2;
__m128i T = _mm_adds_epi16(_mm_max_epi16(_mm_srli_epi16(maxGrad, 1), one), minGrad);
__m128i RGs = z, GRs = z, Bs = z, ng = z;
__m128i x0 = _mm_loadl_u8_s16(srow, +0 );
__m128i x1 = _mm_loadl_u8_s16(srow, -1 - bstep );
__m128i x2 = _mm_loadl_u8_s16(srow, -1 - bstep*2);
__m128i x3 = _mm_loadl_u8_s16(srow, - bstep );
__m128i x4 = _mm_loadl_u8_s16(srow, +1 - bstep*2);
__m128i x5 = _mm_loadl_u8_s16(srow, +1 - bstep );
__m128i x6 = _mm_loadl_u8_s16(srow, +2 - bstep );
__m128i x7 = _mm_loadl_u8_s16(srow, +1 );
__m128i x8 = _mm_loadl_u8_s16(srow, +2 + bstep );
__m128i x9 = _mm_loadl_u8_s16(srow, +1 + bstep );
__m128i x10 = _mm_loadl_u8_s16(srow, +1 + bstep*2);
__m128i x11 = _mm_loadl_u8_s16(srow, + bstep );
__m128i x12 = _mm_loadl_u8_s16(srow, -1 + bstep*2);
__m128i x13 = _mm_loadl_u8_s16(srow, -1 + bstep );
__m128i x14 = _mm_loadl_u8_s16(srow, -2 + bstep );
__m128i x15 = _mm_loadl_u8_s16(srow, -1 );
__m128i x16 = _mm_loadl_u8_s16(srow, -2 - bstep );
__m128i t0, t1, mask;
// gradN ***********************************************
mask = _mm_cmpgt_epi16(T, gradN); // mask = T>gradN
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradN)
t0 = _mm_slli_epi16(x3, 1); // srow[-bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2), x0); // srow[-bstep*2] + srow[0]
// RGs += (srow[-bstep*2] + srow[0]) * (T>gradN)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[-bstep]*2; (srow[-bstep*2-1] + srow[-bstep*2+1])} * (T>gradN)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x2,x4)), mask));
// Bs += {(srow[-bstep-1]+srow[-bstep+1]); srow[-bstep]*2 } * (T>gradN)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x5), t0), mask));
// gradNE **********************************************
mask = _mm_cmpgt_epi16(T, gradNE); // mask = T>gradNE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNE)
t0 = _mm_slli_epi16(x5, 1); // srow[-bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2+2), x0); // srow[-bstep*2+2] + srow[0]
// RGs += {(srow[-bstep*2+2] + srow[0]); srow[-bstep+1]*2} * (T>gradNE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6+1]; (srow[-bstep*2+1] + srow[1])} * (T>gradNE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6+1)), _mm_adds_epi16(x4,x7)), mask));
// Bs += {srow[-bstep+1]*2; (srow[-bstep] + srow[-bstep+2])} * (T>gradNE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x3,x6)), mask));
// gradE ***********************************************
mask = _mm_cmpgt_epi16(T, gradE); // mask = T>gradE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradE)
t0 = _mm_slli_epi16(x7, 1); // srow[1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, 2), x0); // srow[2] + srow[0]
// RGs += (srow[2] + srow[0]) * (T>gradE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[1]*2) * (T>gradE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep+1]+srow[bstep+1]); (srow[-bstep+2]+srow[bstep+2])} * (T>gradE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x5,x9), _mm_adds_epi16(x6,x8)), mask));
// gradSE **********************************************
mask = _mm_cmpgt_epi16(T, gradSE); // mask = T>gradSE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSE)
t0 = _mm_slli_epi16(x9, 1); // srow[bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2+2), x0); // srow[bstep*2+2] + srow[0]
// RGs += {(srow[bstep*2+2] + srow[0]); srow[bstep+1]*2} * (T>gradSE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6+1]; (srow[1]+srow[bstep*2+1])} * (T>gradSE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6+1)), _mm_adds_epi16(x7,x10)), mask));
// Bs += {srow[-bstep+1]*2; (srow[bstep+2]+srow[bstep])} * (T>gradSE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x5, 1), _mm_adds_epi16(x8,x11)), mask));
// gradS ***********************************************
mask = _mm_cmpgt_epi16(T, gradS); // mask = T>gradS
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradS)
t0 = _mm_slli_epi16(x11, 1); // srow[bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,bstep*2), x0); // srow[bstep*2]+srow[0]
// RGs += (srow[bstep*2]+srow[0]) * (T>gradS)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[bstep]*2; (srow[bstep*2+1]+srow[bstep*2-1])} * (T>gradS)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x10,x12)), mask));
// Bs += {(srow[bstep+1]+srow[bstep-1]); srow[bstep]*2} * (T>gradS)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x9,x13), t0), mask));
// gradSW **********************************************
mask = _mm_cmpgt_epi16(T, gradSW); // mask = T>gradSW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSW)
t0 = _mm_slli_epi16(x13, 1); // srow[bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2-2), x0); // srow[bstep*2-2]+srow[0]
// RGs += {(srow[bstep*2-2]+srow[0]); srow[bstep-1]*2} * (T>gradSW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6-1]; (srow[bstep*2-1]+srow[-1])} * (T>gradSW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6-1)), _mm_adds_epi16(x12,x15)), mask));
// Bs += {srow[bstep-1]*2; (srow[bstep]+srow[bstep-2])} * (T>gradSW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x11,x14)), mask));
// gradW ***********************************************
mask = _mm_cmpgt_epi16(T, gradW); // mask = T>gradW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradW)
t0 = _mm_slli_epi16(x15, 1); // srow[-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -2), x0); // srow[-2]+srow[0]
// RGs += (srow[-2]+srow[0]) * (T>gradW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[-1]*2) * (T>gradW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep-1]+srow[bstep-1]); (srow[bstep-2]+srow[-bstep-2])} * (T>gradW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x13), _mm_adds_epi16(x14,x16)), mask));
// gradNW **********************************************
mask = _mm_cmpgt_epi16(T, gradNW); // mask = T>gradNW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNW)
t0 = _mm_slli_epi16(x1, 1); // srow[-bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,-bstep*2-2), x0); // srow[-bstep*2-2]+srow[0]
// RGs += {(srow[-bstep*2-2]+srow[0]); srow[-bstep-1]*2} * (T>gradNW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6-1]; (srow[-bstep*2-1]+srow[-1])} * (T>gradNW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6-1)), _mm_adds_epi16(x2,x15)), mask));
// Bs += {srow[-bstep-1]*2; (srow[-bstep]+srow[-bstep-2])} * (T>gradNW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x5, 1),_mm_adds_epi16(x3,x16)), mask));
__m128 ngf0 = _mm_div_ps(_0_5, _mm_cvtloepi16_ps(ng));
__m128 ngf1 = _mm_div_ps(_0_5, _mm_cvthiepi16_ps(ng));
// now interpolate r, g & b
t0 = _mm_subs_epi16(GRs, RGs);
t1 = _mm_subs_epi16(Bs, RGs);
t0 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t0), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t0), ngf1))));
t1 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t1), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t1), ngf1))));
x1 = _mm_merge_epi16(x0, t0);
x2 = _mm_merge_epi16(t0, x0);
uchar R[8], G[8], B[8];
_mm_storel_epi64(blueIdx ? (__m128i*)B : (__m128i*)R, _mm_packus_epi16(x1, z));
_mm_storel_epi64((__m128i*)G, _mm_packus_epi16(x2, z));
_mm_storel_epi64(blueIdx ? (__m128i*)R : (__m128i*)B, _mm_packus_epi16(t1, z));
for( int j = 0; j < 8; j++, dstrow += 3 )
{
dstrow[0] = B[j]; dstrow[1] = G[j]; dstrow[2] = R[j];
}
}
#endif
limit = N - 2;
}
while( i < N - 2 );
for( i = 0; i < 6; i++ )
{
dst[dststep*y + 5 - i] = dst[dststep*y + 8 - i];
dst[dststep*y + (N - 2)*3 + i] = dst[dststep*y + (N - 3)*3 + i];
}
greenCell0 = !greenCell0;
blueIdx ^= 2;
}
for( i = 0; i < size.width*3; i++ )
{
dst[i] = dst[i + dststep] = dst[i + dststep*2];
dst[i + dststep*(size.height-4)] =
dst[i + dststep*(size.height-3)] =
dst[i + dststep*(size.height-2)] =
dst[i + dststep*(size.height-1)] = dst[i + dststep*(size.height-5)];
}
}
///////////////////////////////////// YUV420 -> RGB ///////////////////////////////////// ///////////////////////////////////// YUV420 -> RGB /////////////////////////////////////
const int ITUR_BT_601_CY = 1220542; const int ITUR_BT_601_CY = 1220542;
...@@ -3586,47 +2644,12 @@ void cv::cvtColor( InputArray _src, OutputArray _dst, int code, int dcn ) ...@@ -3586,47 +2644,12 @@ void cv::cvtColor( InputArray _src, OutputArray _dst, int code, int dcn )
break; break;
case CV_BayerBG2GRAY: case CV_BayerGB2GRAY: case CV_BayerRG2GRAY: case CV_BayerGR2GRAY: case CV_BayerBG2GRAY: case CV_BayerGB2GRAY: case CV_BayerRG2GRAY: case CV_BayerGR2GRAY:
if(dcn <= 0) dcn = 1;
CV_Assert( scn == 1 && dcn == 1 );
_dst.create(sz, CV_MAKETYPE(depth, dcn));
dst = _dst.getMat();
if( depth == CV_8U )
Bayer2Gray_<uchar, SIMDBayerInterpolator_8u>(src, dst, code);
else if( depth == CV_16U )
Bayer2Gray_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->Gray demosaicing only supports 8u and 16u types");
break;
case CV_BayerBG2BGR: case CV_BayerGB2BGR: case CV_BayerRG2BGR: case CV_BayerGR2BGR: case CV_BayerBG2BGR: case CV_BayerGB2BGR: case CV_BayerRG2BGR: case CV_BayerGR2BGR:
case CV_BayerBG2BGR_VNG: case CV_BayerGB2BGR_VNG: case CV_BayerRG2BGR_VNG: case CV_BayerGR2BGR_VNG: case CV_BayerBG2BGR_VNG: case CV_BayerGB2BGR_VNG: case CV_BayerRG2BGR_VNG: case CV_BayerGR2BGR_VNG:
{ case CV_BayerBG2BGR_EA: case CV_BayerGB2BGR_EA: case CV_BayerRG2BGR_EA: case CV_BayerGR2BGR_EA:
if (dcn <= 0) demosaicing(src, _dst, code, dcn);
dcn = 3;
CV_Assert( scn == 1 && dcn == 3 );
_dst.create(sz, CV_MAKE_TYPE(depth, dcn));
Mat dst_ = _dst.getMat();
if( code == CV_BayerBG2BGR || code == CV_BayerGB2BGR ||
code == CV_BayerRG2BGR || code == CV_BayerGR2BGR )
{
if( depth == CV_8U )
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>(src, dst_, code);
else if( depth == CV_16U )
Bayer2RGB_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst_, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->RGB demosaicing only supports 8u and 16u types");
}
else
{
CV_Assert( depth == CV_8U );
Bayer2RGB_VNG_8u(src, dst_, code);
}
}
break; break;
case CV_YUV2BGR_NV21: case CV_YUV2RGB_NV21: case CV_YUV2BGR_NV12: case CV_YUV2RGB_NV12: case CV_YUV2BGR_NV21: case CV_YUV2RGB_NV21: case CV_YUV2BGR_NV12: case CV_YUV2RGB_NV12:
case CV_YUV2BGRA_NV21: case CV_YUV2RGBA_NV21: case CV_YUV2BGRA_NV12: case CV_YUV2RGBA_NV12: case CV_YUV2BGRA_NV21: case CV_YUV2RGBA_NV21: case CV_YUV2BGRA_NV12: case CV_YUV2RGBA_NV12:
{ {
......
modules/imgproc/src/demosaicing.cpp 0 → 100644
View file @ 5225672d
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009-2010, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <limits>
namespace cv
{
//////////////////////////// Bayer Pattern -> RGB conversion /////////////////////////////
template<typename T>
class SIMDBayerStubInterpolator_
{
public:
int bayer2Gray(const T*, int, T*, int, int, int, int) const
{
return 0;
}
int bayer2RGB(const T*, int, T*, int, int) const
{
return 0;
}
};
#if CV_SSE2
class SIMDBayerInterpolator_8u
{
public:
SIMDBayerInterpolator_8u()
{
use_simd = checkHardwareSupport(CV_CPU_SSE2);
}
int bayer2Gray(const uchar* bayer, int bayer_step, uchar* dst,
int width, int bcoeff, int gcoeff, int rcoeff) const
{
if( !use_simd )
return 0;
__m128i _b2y = _mm_set1_epi16((short)(rcoeff*2));
__m128i _g2y = _mm_set1_epi16((short)(gcoeff*2));
__m128i _r2y = _mm_set1_epi16((short)(bcoeff*2));
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 14 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_srli_epi16(_mm_slli_epi16(r0, 8), 7),
_mm_srli_epi16(_mm_slli_epi16(r2, 8), 7));
__m128i b0 = _mm_add_epi16(b1, _mm_srli_si128(b1, 2));
b1 = _mm_slli_epi16(_mm_srli_si128(b1, 2), 1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 7), _mm_srli_epi16(r2, 7));
__m128i g1 = _mm_srli_epi16(_mm_slli_epi16(r1, 8), 7);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_slli_epi16(_mm_srli_si128(g1, 2), 2);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_slli_epi16(_mm_add_epi16(r0, _mm_srli_si128(r0, 2)), 2);
r0 = _mm_slli_epi16(r0, 3);
g0 = _mm_add_epi16(_mm_mulhi_epi16(b0, _b2y), _mm_mulhi_epi16(g0, _g2y));
g1 = _mm_add_epi16(_mm_mulhi_epi16(b1, _b2y), _mm_mulhi_epi16(g1, _g2y));
g0 = _mm_add_epi16(g0, _mm_mulhi_epi16(r0, _r2y));
g1 = _mm_add_epi16(g1, _mm_mulhi_epi16(r1, _r2y));
g0 = _mm_srli_epi16(g0, 2);
g1 = _mm_srli_epi16(g1, 2);
g0 = _mm_packus_epi16(g0, g0);
g1 = _mm_packus_epi16(g1, g1);
g0 = _mm_unpacklo_epi8(g0, g1);
_mm_storeu_si128((__m128i*)dst, g0);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGB(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
if( !use_simd )
return 0;
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
__m128i delta1 = _mm_set1_epi16(1), delta2 = _mm_set1_epi16(2);
__m128i mask = _mm_set1_epi16(blue < 0 ? -1 : 0), z = _mm_setzero_si128();
__m128i masklo = _mm_set1_epi16(0x00ff);
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 42 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_and_si128(r0, masklo), _mm_and_si128(r2, masklo));
__m128i b0 = _mm_add_epi16(b1, _mm_srli_si128(b1, 2));
b1 = _mm_srli_si128(b1, 2);
b1 = _mm_srli_epi16(_mm_add_epi16(b1, delta1), 1);
b0 = _mm_srli_epi16(_mm_add_epi16(b0, delta2), 2);
b0 = _mm_packus_epi16(b0, b1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 8), _mm_srli_epi16(r2, 8));
__m128i g1 = _mm_and_si128(r1, masklo);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_srli_si128(g1, 2);
g0 = _mm_srli_epi16(_mm_add_epi16(g0, delta2), 2);
g0 = _mm_packus_epi16(g0, g1);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_add_epi16(r0, _mm_srli_si128(r0, 2));
r1 = _mm_srli_epi16(_mm_add_epi16(r1, delta1), 1);
r0 = _mm_packus_epi16(r0, r1);
b1 = _mm_and_si128(_mm_xor_si128(b0, r0), mask);
b0 = _mm_xor_si128(b0, b1);
r0 = _mm_xor_si128(r0, b1);
// b1 g1 b1 g1 ...
b1 = _mm_unpackhi_epi8(b0, g0);
// b0 g0 b2 g2 b4 g4 ....
b0 = _mm_unpacklo_epi8(b0, g0);
// r1 0 r3 0 ...
r1 = _mm_unpackhi_epi8(r0, z);
// r0 0 r2 0 r4 0 ...
r0 = _mm_unpacklo_epi8(r0, z);
// 0 b0 g0 r0 0 b2 g2 r2 0 ...
g0 = _mm_slli_si128(_mm_unpacklo_epi16(b0, r0), 1);
// 0 b8 g8 r8 0 b10 g10 r10 0 ...
g1 = _mm_slli_si128(_mm_unpackhi_epi16(b0, r0), 1);
// b1 g1 r1 0 b3 g3 r3 ....
r0 = _mm_unpacklo_epi16(b1, r1);
// b9 g9 r9 0 ...
r1 = _mm_unpackhi_epi16(b1, r1);
b0 = _mm_srli_si128(_mm_unpacklo_epi32(g0, r0), 1);
b1 = _mm_srli_si128(_mm_unpackhi_epi32(g0, r0), 1);
_mm_storel_epi64((__m128i*)(dst-1+0), b0);
_mm_storel_epi64((__m128i*)(dst-1+6*1), _mm_srli_si128(b0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*2), b1);
_mm_storel_epi64((__m128i*)(dst-1+6*3), _mm_srli_si128(b1, 8));
g0 = _mm_srli_si128(_mm_unpacklo_epi32(g1, r1), 1);
g1 = _mm_srli_si128(_mm_unpackhi_epi32(g1, r1), 1);
_mm_storel_epi64((__m128i*)(dst-1+6*4), g0);
_mm_storel_epi64((__m128i*)(dst-1+6*5), _mm_srli_si128(g0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*6), g1);
}
return (int)(bayer - (bayer_end - width));
}
bool use_simd;
};
#else
typedef SIMDBayerStubInterpolator_<uchar> SIMDBayerInterpolator_8u;
#endif
template<typename T, class SIMDInterpolator>
static void Bayer2Gray_( const Mat& srcmat, Mat& dstmat, int code )
{
SIMDInterpolator vecOp;
const int R2Y = 4899;
const int G2Y = 9617;
const int B2Y = 1868;
const int SHIFT = 14;
const T* bayer0 = (const T*)srcmat.data;
int bayer_step = (int)(srcmat.step/sizeof(T));
T* dst0 = (T*)dstmat.data;
int dst_step = (int)(dstmat.step/sizeof(T));
Size size = srcmat.size();
int bcoeff = B2Y, rcoeff = R2Y;
int start_with_green = code == CV_BayerGB2GRAY || code == CV_BayerGR2GRAY;
bool brow = true;
if( code != CV_BayerBG2GRAY && code != CV_BayerGB2GRAY )
{
brow = false;
std::swap(bcoeff, rcoeff);
}
dst0 += dst_step + 1;
size.height -= 2;
size.width -= 2;
for( ; size.height-- > 0; bayer0 += bayer_step, dst0 += dst_step )
{
unsigned t0, t1, t2;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
if( size.width <= 0 )
{
dst[-1] = dst[size.width] = 0;
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1])*rcoeff;
t1 = (bayer[bayer_step] + bayer[bayer_step+2])*bcoeff;
t2 = bayer[bayer_step+1]*(2*G2Y);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
bayer++;
dst++;
}
int delta = vecOp.bayer2Gray(bayer, bayer_step, dst, size.width, bcoeff, G2Y, rcoeff);
bayer += delta;
dst += delta;
for( ; bayer <= bayer_end - 2; bayer += 2, dst += 2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
t0 = (bayer[2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3])*bcoeff;
t2 = bayer[bayer_step+2]*(2*G2Y);
dst[1] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
}
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
bayer++;
dst++;
}
dst0[-1] = dst0[0];
dst0[size.width] = dst0[size.width-1];
brow = !brow;
std::swap(bcoeff, rcoeff);
start_with_green = !start_with_green;
}
size = dstmat.size();
dst0 = (T*)dstmat.data;
if( size.height > 2 )
for( int i = 0; i < size.width; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width; i++ )
{
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
}
template <typename T, typename SIMDInterpolator>
class Bayer2RGB_Invoker :
public ParallelLoopBody
{
public:
Bayer2RGB_Invoker(const Mat& _srcmat, Mat& _dstmat, int _start_with_green, int _blue, const Size& _size) :
srcmat(_srcmat), dstmat(_dstmat), Start_with_green(_start_with_green), Blue(_blue), size(_size)
{
}
virtual void operator() (const Range& range) const
{
SIMDInterpolator vecOp;
const T* bayer0 = (const T*)srcmat.data;
int bayer_step = (int)(srcmat.step/sizeof(T));
T* dst0 = (T*)dstmat.data;
int dst_step = (int)(dstmat.step/sizeof(T));
int blue = Blue, start_with_green = Start_with_green;
int alpha = std::numeric_limits<T>::max();
if (range.start % 2)
{
blue = -blue;
start_with_green = !start_with_green;
}
int dcn = dstmat.channels();
dst0 += dst_step + dcn + 1;
int dcn2 = dcn << 1;
dst0 += dst_step * range.start;
bayer0 += bayer_step * range.start;
for (int i = range.start; i < range.end; bayer0 += bayer_step, dst0 += dst_step, ++i )
{
int t0, t1;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
// in case of when size.width <= 2
if( size.width <= 0 )
{
// ?
dst[-4] = dst[-3] = dst[-2] = dst[size.width*3-1] =
dst[size.width*3] = dst[size.width*3+1] = 0;
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1] + 1) >> 1;
t1 = (bayer[bayer_step] + bayer[bayer_step+2] + 1) >> 1;
dst[-blue] = (T)t0;
dst[0] = bayer[bayer_step+1];
dst[blue] = (T)t1;
if (dcn == 4)
dst[2] = alpha; // alpha channel
bayer++;
dst += dcn;
}
// simd optimization only for dcn == 3
int delta = dcn == 4 ? 0 : vecOp.bayer2RGB(bayer, bayer_step, dst, size.width, blue);
bayer += delta;
dst += delta*dcn;
if (dcn == 3) // Bayer to BGR
{
if( blue > 0 )
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = (T)t0;
dst[0] = (T)t1;
dst[1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[2] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[4] = (T)t1;
}
}
else
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[1] = (T)t0;
dst[0] = (T)t1;
dst[-1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[4] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[2] = (T)t1;
}
}
}
else // Bayer to BGRA
{
// if current row does not contain Blue pixels
if( blue > 0 )
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = (T)t0;
dst[0] = (T)t1;
dst[1] = bayer[bayer_step+1];
dst[2] = alpha; // alpha channel
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[3] = (T)t0;
dst[4] = bayer[bayer_step+2];
dst[5] = (T)t1;
dst[6] = alpha; // alpha channel
}
}
else // if current row contains Blue pixels
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = bayer[bayer_step+1];
dst[0] = (T)t1;
dst[1] = (T)t0;
dst[2] = alpha; // alpha channel
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[3] = (T)t1;
dst[4] = bayer[bayer_step+2];
dst[5] = (T)t0;
dst[6] = alpha; // alpha channel
}
}
}
// if skip one pixel at the end of row
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-blue] = (T)t0;
dst[0] = (T)t1;
dst[blue] = bayer[bayer_step+1];
if (dcn == 4)
dst[2] = alpha; // alpha channel
bayer++;
dst += dcn;
}
// fill the last and the first pixels of row accordingly
if (dcn == 3)
{
dst0[-4] = dst0[-1];
dst0[-3] = dst0[0];
dst0[-2] = dst0[1];
dst0[size.width*dcn-1] = dst0[size.width*dcn-4];
dst0[size.width*dcn] = dst0[size.width*dcn-3];
dst0[size.width*dcn+1] = dst0[size.width*dcn-2];
}
else
{
dst0[-5] = dst0[-1];
dst0[-4] = dst0[0];
dst0[-3] = dst0[1];
dst0[-2] = dst0[2]; // alpha channel
dst0[size.width*dcn-1] = dst0[size.width*dcn-5];
dst0[size.width*dcn] = dst0[size.width*dcn-4];
dst0[size.width*dcn+1] = dst0[size.width*dcn-3];
dst0[size.width*dcn+2] = dst0[size.width*dcn-2]; // alpha channel
}
blue = -blue;
start_with_green = !start_with_green;
}
}
public:
const Mat srcmat;
Mat dstmat;
int Start_with_green, Blue;
const Size size;
};
template<typename T, class SIMDInterpolator>
static void Bayer2RGB_( const Mat& srcmat, Mat& dstmat, int code )
{
int dst_step = (int)(dstmat.step/sizeof(T));
Size size = srcmat.size();
int blue = code == CV_BayerBG2BGR || code == CV_BayerGB2BGR ? -1 : 1;
int start_with_green = code == CV_BayerGB2BGR || code == CV_BayerGR2BGR;
int dcn = dstmat.channels();
size.height -= 2;
size.width -= 2;
Range range(0, size.height);
Bayer2RGB_Invoker<T, SIMDInterpolator> invoker(srcmat, dstmat, start_with_green, blue, size);
parallel_for_(range, invoker);
// filling the first and the last rows
size = dstmat.size();
T* dst0 = (T*)dstmat.data;
if( size.height > 2 )
for( int i = 0; i < size.width*dcn; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width*dcn; i++ )
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
/////////////////// Demosaicing using Variable Number of Gradients ///////////////////////
static void Bayer2RGB_VNG_8u( const Mat& srcmat, Mat& dstmat, int code )
{
const uchar* bayer = srcmat.data;
int bstep = (int)srcmat.step;
uchar* dst = dstmat.data;
int dststep = (int)dstmat.step;
Size size = srcmat.size();
int blueIdx = code == CV_BayerBG2BGR_VNG || code == CV_BayerGB2BGR_VNG ? 0 : 2;
bool greenCell0 = code != CV_BayerBG2BGR_VNG && code != CV_BayerRG2BGR_VNG;
// for too small images use the simple interpolation algorithm
if( MIN(size.width, size.height) < 8 )
{
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>( srcmat, dstmat, code );
return;
}
const int brows = 3, bcn = 7;
int N = size.width, N2 = N*2, N3 = N*3, N4 = N*4, N5 = N*5, N6 = N*6, N7 = N*7;
int i, bufstep = N7*bcn;
cv::AutoBuffer<ushort> _buf(bufstep*brows);
ushort* buf = (ushort*)_buf;
bayer += bstep*2;
#if CV_SSE2
bool haveSSE = cv::checkHardwareSupport(CV_CPU_SSE2);
#define _mm_absdiff_epu16(a,b) _mm_adds_epu16(_mm_subs_epu16(a, b), _mm_subs_epu16(b, a))
#endif
for( int y = 2; y < size.height - 4; y++ )
{
uchar* dstrow = dst + dststep*y + 6;
const uchar* srow;
for( int dy = (y == 2 ? -1 : 1); dy <= 1; dy++ )
{
ushort* brow = buf + ((y + dy - 1)%brows)*bufstep + 1;
srow = bayer + (y+dy)*bstep + 1;
for( i = 0; i < bcn; i++ )
brow[N*i-1] = brow[(N-2) + N*i] = 0;
i = 1;
#if CV_SSE2
if( haveSSE )
{
__m128i z = _mm_setzero_si128();
for( ; i <= N-9; i += 8, srow += 8, brow += 8 )
{
__m128i s1, s2, s3, s4, s6, s7, s8, s9;
s1 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1-bstep)),z);
s2 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-bstep)),z);
s3 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1-bstep)),z);
s4 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1)),z);
s6 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1)),z);
s7 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1+bstep)),z);
s8 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+bstep)),z);
s9 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1+bstep)),z);
__m128i b0, b1, b2, b3, b4, b5, b6;
b0 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s2,s8),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s7),
_mm_absdiff_epu16(s3, s9)));
b1 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s4,s6),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s3),
_mm_absdiff_epu16(s7, s9)));
b2 = _mm_slli_epi16(_mm_absdiff_epu16(s3,s7),1);
b3 = _mm_slli_epi16(_mm_absdiff_epu16(s1,s9),1);
_mm_storeu_si128((__m128i*)brow, b0);
_mm_storeu_si128((__m128i*)(brow + N), b1);
_mm_storeu_si128((__m128i*)(brow + N2), b2);
_mm_storeu_si128((__m128i*)(brow + N3), b3);
b4 = _mm_adds_epu16(b2,_mm_adds_epu16(_mm_absdiff_epu16(s2, s4),
_mm_absdiff_epu16(s6, s8)));
b5 = _mm_adds_epu16(b3,_mm_adds_epu16(_mm_absdiff_epu16(s2, s6),
_mm_absdiff_epu16(s4, s8)));
b6 = _mm_adds_epu16(_mm_adds_epu16(s2, s4), _mm_adds_epu16(s6, s8));
b6 = _mm_srli_epi16(b6, 1);
_mm_storeu_si128((__m128i*)(brow + N4), b4);
_mm_storeu_si128((__m128i*)(brow + N5), b5);
_mm_storeu_si128((__m128i*)(brow + N6), b6);
}
}
#endif
for( ; i < N-1; i++, srow++, brow++ )
{
brow[0] = (ushort)(std::abs(srow[-1-bstep] - srow[-1+bstep]) +
std::abs(srow[-bstep] - srow[+bstep])*2 +
std::abs(srow[1-bstep] - srow[1+bstep]));
brow[N] = (ushort)(std::abs(srow[-1-bstep] - srow[1-bstep]) +
std::abs(srow[-1] - srow[1])*2 +
std::abs(srow[-1+bstep] - srow[1+bstep]));
brow[N2] = (ushort)(std::abs(srow[+1-bstep] - srow[-1+bstep])*2);
brow[N3] = (ushort)(std::abs(srow[-1-bstep] - srow[1+bstep])*2);
brow[N4] = (ushort)(brow[N2] + std::abs(srow[-bstep] - srow[-1]) +
std::abs(srow[+bstep] - srow[1]));
brow[N5] = (ushort)(brow[N3] + std::abs(srow[-bstep] - srow[1]) +
std::abs(srow[+bstep] - srow[-1]));
brow[N6] = (ushort)((srow[-bstep] + srow[-1] + srow[1] + srow[+bstep])>>1);
}
}
const ushort* brow0 = buf + ((y - 2) % brows)*bufstep + 2;
const ushort* brow1 = buf + ((y - 1) % brows)*bufstep + 2;
const ushort* brow2 = buf + (y % brows)*bufstep + 2;
static const float scale[] = { 0.f, 0.5f, 0.25f, 0.1666666666667f, 0.125f, 0.1f, 0.08333333333f, 0.0714286f, 0.0625f };
srow = bayer + y*bstep + 2;
bool greenCell = greenCell0;
i = 2;
#if CV_SSE2
int limit = !haveSSE ? N-2 : greenCell ? std::min(3, N-2) : 2;
#else
int limit = N - 2;
#endif
do
{
for( ; i < limit; i++, srow++, brow0++, brow1++, brow2++, dstrow += 3 )
{
int gradN = brow0[0] + brow1[0];
int gradS = brow1[0] + brow2[0];
int gradW = brow1[N-1] + brow1[N];
int gradE = brow1[N] + brow1[N+1];
int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
int R, G, B;
if( !greenCell )
{
int gradNE = brow0[N4+1] + brow1[N4];
int gradSW = brow1[N4] + brow2[N4-1];
int gradNW = brow0[N5-1] + brow1[N5];
int gradSE = brow1[N5] + brow2[N5+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2] + srow[0];
Gs += srow[-bstep]*2;
Bs += srow[-bstep-1] + srow[-bstep+1];
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2] + srow[0];
Gs += srow[bstep]*2;
Bs += srow[bstep-1] + srow[bstep+1];
ng++;
}
if( gradW < T )
{
Rs += srow[-2] + srow[0];
Gs += srow[-1]*2;
Bs += srow[-bstep-1] + srow[bstep-1];
ng++;
}
if( gradE < T )
{
Rs += srow[2] + srow[0];
Gs += srow[1]*2;
Bs += srow[-bstep+1] + srow[bstep+1];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+2] + srow[0];
Gs += brow0[N6+1];
Bs += srow[-bstep+1]*2;
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-2] + srow[0];
Gs += brow2[N6-1];
Bs += srow[bstep-1]*2;
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-2] + srow[0];
Gs += brow0[N6-1];
Bs += srow[-bstep+1]*2;
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+2] + srow[0];
Gs += brow2[N6+1];
Bs += srow[-bstep+1]*2;
ng++;
}
R = srow[0];
G = R + cvRound((Gs - Rs)*scale[ng]);
B = R + cvRound((Bs - Rs)*scale[ng]);
}
else
{
int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2-1] + srow[-bstep*2+1];
Gs += srow[-bstep*2] + srow[0];
Bs += srow[-bstep]*2;
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2-1] + srow[bstep*2+1];
Gs += srow[bstep*2] + srow[0];
Bs += srow[bstep]*2;
ng++;
}
if( gradW < T )
{
Rs += srow[-1]*2;
Gs += srow[-2] + srow[0];
Bs += srow[-bstep-2]+srow[bstep-2];
ng++;
}
if( gradE < T )
{
Rs += srow[1]*2;
Gs += srow[2] + srow[0];
Bs += srow[-bstep+2]+srow[bstep+2];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+1] + srow[1];
Gs += srow[-bstep+1]*2;
Bs += srow[-bstep] + srow[-bstep+2];
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-1] + srow[-1];
Gs += srow[bstep-1]*2;
Bs += srow[bstep] + srow[bstep-2];
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-1] + srow[-1];
Gs += srow[-bstep-1]*2;
Bs += srow[-bstep-2]+srow[-bstep];
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+1] + srow[1];
Gs += srow[bstep+1]*2;
Bs += srow[bstep+2]+srow[bstep];
ng++;
}
G = srow[0];
R = G + cvRound((Rs - Gs)*scale[ng]);
B = G + cvRound((Bs - Gs)*scale[ng]);
}
dstrow[blueIdx] = CV_CAST_8U(B);
dstrow[1] = CV_CAST_8U(G);
dstrow[blueIdx^2] = CV_CAST_8U(R);
greenCell = !greenCell;
}
#if CV_SSE2
if( !haveSSE )
break;
__m128i emask = _mm_set1_epi32(0x0000ffff),
omask = _mm_set1_epi32(0xffff0000),
z = _mm_setzero_si128(),
one = _mm_set1_epi16(1);
__m128 _0_5 = _mm_set1_ps(0.5f);
#define _mm_merge_epi16(a, b) _mm_or_si128(_mm_and_si128(a, emask), _mm_and_si128(b, omask)) //(aA_aA_aA_aA) * (bB_bB_bB_bB) => (bA_bA_bA_bA)
#define _mm_cvtloepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpacklo_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (1f,2f,3f,4f)
#define _mm_cvthiepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpackhi_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (5f,6f,7f,8f)
#define _mm_loadl_u8_s16(ptr, offset) _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)((ptr) + (offset))), z) //load 8 uchars to 8 shorts
// process 8 pixels at once
for( ; i <= N - 10; i += 8, srow += 8, brow0 += 8, brow1 += 8, brow2 += 8 )
{
//int gradN = brow0[0] + brow1[0];
__m128i gradN = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow0), _mm_loadu_si128((__m128i*)brow1));
//int gradS = brow1[0] + brow2[0];
__m128i gradS = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow1), _mm_loadu_si128((__m128i*)brow2));
//int gradW = brow1[N-1] + brow1[N];
__m128i gradW = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N-1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int gradE = brow1[N+1] + brow1[N];
__m128i gradE = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N+1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
//int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
__m128i minGrad = _mm_min_epi16(_mm_min_epi16(gradN, gradS), _mm_min_epi16(gradW, gradE));
__m128i maxGrad = _mm_max_epi16(_mm_max_epi16(gradN, gradS), _mm_max_epi16(gradW, gradE));
__m128i grad0, grad1;
//int gradNE = brow0[N4+1] + brow1[N4];
//int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N4+1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16( _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N2)), _mm_loadu_si128((__m128i*)(brow0+N2+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2+1))));
__m128i gradNE = _mm_merge_epi16(grad0, grad1);
//int gradSW = brow1[N4] + brow2[N4-1];
//int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N4-1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N2)), _mm_loadu_si128((__m128i*)(brow2+N2-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2-1))));
__m128i gradSW = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNE), gradSW);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNE), gradSW);
//int gradNW = brow0[N5-1] + brow1[N5];
//int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N5-1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N3)), _mm_loadu_si128((__m128i*)(brow0+N3-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3-1))));
__m128i gradNW = _mm_merge_epi16(grad0, grad1);
//int gradSE = brow1[N5] + brow2[N5+1];
//int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N5+1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N3)), _mm_loadu_si128((__m128i*)(brow2+N3+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3+1))));
__m128i gradSE = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNW), gradSE);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNW), gradSE);
//int T = minGrad + maxGrad/2;
__m128i T = _mm_adds_epi16(_mm_max_epi16(_mm_srli_epi16(maxGrad, 1), one), minGrad);
__m128i RGs = z, GRs = z, Bs = z, ng = z;
__m128i x0 = _mm_loadl_u8_s16(srow, +0 );
__m128i x1 = _mm_loadl_u8_s16(srow, -1 - bstep );
__m128i x2 = _mm_loadl_u8_s16(srow, -1 - bstep*2);
__m128i x3 = _mm_loadl_u8_s16(srow, - bstep );
__m128i x4 = _mm_loadl_u8_s16(srow, +1 - bstep*2);
__m128i x5 = _mm_loadl_u8_s16(srow, +1 - bstep );
__m128i x6 = _mm_loadl_u8_s16(srow, +2 - bstep );
__m128i x7 = _mm_loadl_u8_s16(srow, +1 );
__m128i x8 = _mm_loadl_u8_s16(srow, +2 + bstep );
__m128i x9 = _mm_loadl_u8_s16(srow, +1 + bstep );
__m128i x10 = _mm_loadl_u8_s16(srow, +1 + bstep*2);
__m128i x11 = _mm_loadl_u8_s16(srow, + bstep );
__m128i x12 = _mm_loadl_u8_s16(srow, -1 + bstep*2);
__m128i x13 = _mm_loadl_u8_s16(srow, -1 + bstep );
__m128i x14 = _mm_loadl_u8_s16(srow, -2 + bstep );
__m128i x15 = _mm_loadl_u8_s16(srow, -1 );
__m128i x16 = _mm_loadl_u8_s16(srow, -2 - bstep );
__m128i t0, t1, mask;
// gradN ***********************************************
mask = _mm_cmpgt_epi16(T, gradN); // mask = T>gradN
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradN)
t0 = _mm_slli_epi16(x3, 1); // srow[-bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2), x0); // srow[-bstep*2] + srow[0]
// RGs += (srow[-bstep*2] + srow[0]) * (T>gradN)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[-bstep]*2; (srow[-bstep*2-1] + srow[-bstep*2+1])} * (T>gradN)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x2,x4)), mask));
// Bs += {(srow[-bstep-1]+srow[-bstep+1]); srow[-bstep]*2 } * (T>gradN)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x5), t0), mask));
// gradNE **********************************************
mask = _mm_cmpgt_epi16(T, gradNE); // mask = T>gradNE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNE)
t0 = _mm_slli_epi16(x5, 1); // srow[-bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2+2), x0); // srow[-bstep*2+2] + srow[0]
// RGs += {(srow[-bstep*2+2] + srow[0]); srow[-bstep+1]*2} * (T>gradNE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6+1]; (srow[-bstep*2+1] + srow[1])} * (T>gradNE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6+1)), _mm_adds_epi16(x4,x7)), mask));
// Bs += {srow[-bstep+1]*2; (srow[-bstep] + srow[-bstep+2])} * (T>gradNE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x3,x6)), mask));
// gradE ***********************************************
mask = _mm_cmpgt_epi16(T, gradE); // mask = T>gradE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradE)
t0 = _mm_slli_epi16(x7, 1); // srow[1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, 2), x0); // srow[2] + srow[0]
// RGs += (srow[2] + srow[0]) * (T>gradE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[1]*2) * (T>gradE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep+1]+srow[bstep+1]); (srow[-bstep+2]+srow[bstep+2])} * (T>gradE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x5,x9), _mm_adds_epi16(x6,x8)), mask));
// gradSE **********************************************
mask = _mm_cmpgt_epi16(T, gradSE); // mask = T>gradSE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSE)
t0 = _mm_slli_epi16(x9, 1); // srow[bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2+2), x0); // srow[bstep*2+2] + srow[0]
// RGs += {(srow[bstep*2+2] + srow[0]); srow[bstep+1]*2} * (T>gradSE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6+1]; (srow[1]+srow[bstep*2+1])} * (T>gradSE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6+1)), _mm_adds_epi16(x7,x10)), mask));
// Bs += {srow[-bstep+1]*2; (srow[bstep+2]+srow[bstep])} * (T>gradSE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x5, 1), _mm_adds_epi16(x8,x11)), mask));
// gradS ***********************************************
mask = _mm_cmpgt_epi16(T, gradS); // mask = T>gradS
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradS)
t0 = _mm_slli_epi16(x11, 1); // srow[bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,bstep*2), x0); // srow[bstep*2]+srow[0]
// RGs += (srow[bstep*2]+srow[0]) * (T>gradS)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[bstep]*2; (srow[bstep*2+1]+srow[bstep*2-1])} * (T>gradS)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x10,x12)), mask));
// Bs += {(srow[bstep+1]+srow[bstep-1]); srow[bstep]*2} * (T>gradS)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x9,x13), t0), mask));
// gradSW **********************************************
mask = _mm_cmpgt_epi16(T, gradSW); // mask = T>gradSW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSW)
t0 = _mm_slli_epi16(x13, 1); // srow[bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2-2), x0); // srow[bstep*2-2]+srow[0]
// RGs += {(srow[bstep*2-2]+srow[0]); srow[bstep-1]*2} * (T>gradSW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6-1]; (srow[bstep*2-1]+srow[-1])} * (T>gradSW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6-1)), _mm_adds_epi16(x12,x15)), mask));
// Bs += {srow[bstep-1]*2; (srow[bstep]+srow[bstep-2])} * (T>gradSW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x11,x14)), mask));
// gradW ***********************************************
mask = _mm_cmpgt_epi16(T, gradW); // mask = T>gradW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradW)
t0 = _mm_slli_epi16(x15, 1); // srow[-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -2), x0); // srow[-2]+srow[0]
// RGs += (srow[-2]+srow[0]) * (T>gradW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[-1]*2) * (T>gradW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep-1]+srow[bstep-1]); (srow[bstep-2]+srow[-bstep-2])} * (T>gradW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x13), _mm_adds_epi16(x14,x16)), mask));
// gradNW **********************************************
mask = _mm_cmpgt_epi16(T, gradNW); // mask = T>gradNW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNW)
t0 = _mm_slli_epi16(x1, 1); // srow[-bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,-bstep*2-2), x0); // srow[-bstep*2-2]+srow[0]
// RGs += {(srow[-bstep*2-2]+srow[0]); srow[-bstep-1]*2} * (T>gradNW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6-1]; (srow[-bstep*2-1]+srow[-1])} * (T>gradNW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6-1)), _mm_adds_epi16(x2,x15)), mask));
// Bs += {srow[-bstep-1]*2; (srow[-bstep]+srow[-bstep-2])} * (T>gradNW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x5, 1),_mm_adds_epi16(x3,x16)), mask));
__m128 ngf0 = _mm_div_ps(_0_5, _mm_cvtloepi16_ps(ng));
__m128 ngf1 = _mm_div_ps(_0_5, _mm_cvthiepi16_ps(ng));
// now interpolate r, g & b
t0 = _mm_subs_epi16(GRs, RGs);
t1 = _mm_subs_epi16(Bs, RGs);
t0 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t0), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t0), ngf1))));
t1 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t1), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t1), ngf1))));
x1 = _mm_merge_epi16(x0, t0);
x2 = _mm_merge_epi16(t0, x0);
uchar R[8], G[8], B[8];
_mm_storel_epi64(blueIdx ? (__m128i*)B : (__m128i*)R, _mm_packus_epi16(x1, z));
_mm_storel_epi64((__m128i*)G, _mm_packus_epi16(x2, z));
_mm_storel_epi64(blueIdx ? (__m128i*)R : (__m128i*)B, _mm_packus_epi16(t1, z));
for( int j = 0; j < 8; j++, dstrow += 3 )
{
dstrow[0] = B[j]; dstrow[1] = G[j]; dstrow[2] = R[j];
}
}
#endif
limit = N - 2;
}
while( i < N - 2 );
for( i = 0; i < 6; i++ )
{
dst[dststep*y + 5 - i] = dst[dststep*y + 8 - i];
dst[dststep*y + (N - 2)*3 + i] = dst[dststep*y + (N - 3)*3 + i];
}
greenCell0 = !greenCell0;
blueIdx ^= 2;
}
for( i = 0; i < size.width*3; i++ )
{
dst[i] = dst[i + dststep] = dst[i + dststep*2];
dst[i + dststep*(size.height-4)] =
dst[i + dststep*(size.height-3)] =
dst[i + dststep*(size.height-2)] =
dst[i + dststep*(size.height-1)] = dst[i + dststep*(size.height-5)];
}
}
//////////////////////////////// Edge-Aware Demosaicing //////////////////////////////////
template <typename T>
class Bayer2RGB_EdgeAware_T_Invoker :
public cv::ParallelLoopBody
{
public:
Bayer2RGB_EdgeAware_T_Invoker(const Mat& _src, Mat& _dst, const Size& _size,
int _blue, int _start_with_green) :
ParallelLoopBody(),
src(_src), dst(_dst), size(_size), Blue(_blue), Start_with_green(_start_with_green)
{
}
virtual void operator()(const Range& range) const
{
int dcn = dst.channels();
int start_with_green = Start_with_green, blue = Blue;
int sstep = src.step / src.elemSize1(), dstep = dst.step / dst.elemSize1();
start_with_green = range.start % 2 == 0 ? (Start_with_green ^ 1) : Start_with_green;
blue = range.start % 2 == 0 ? (Blue ^ 1) : Blue;
const T* S = reinterpret_cast<const T*>(src.data + range.start * src.step) + 1;
T* D = reinterpret_cast<T*>(dst.data + range.start * dst.step) + dcn;
// to BGR
for (int y = range.start; y < range.end; ++y)
{
int x = 1;
if (start_with_green)
{
D[blue<<1] = (S[-sstep] + S[sstep]) >> 1;
D[1] = S[0];
D[2-(blue<<1)] = (S[-1] + S[1]) >> 1;
D += dcn;
++S;
++x;
}
if (blue)
for (; x < size.width; x += 2, S += 2, D += 2*dcn)
{
D[0] = S[0];
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1]) >> 2;
D[3] = (S[0] + S[2] + 1) >> 1;
D[4] = S[1];
D[5] = (S[-sstep+1] + S[sstep+1] + 1) >> 1;
}
else
for (; x < size.width; x += 2, S += 2, D += 2*dcn)
{
D[0] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1] + 2) >> 2;
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2] = S[0];
D[3] = (S[-sstep+1] + S[sstep+1] + 1) >> 1;
D[4] = S[1];
D[5] = (S[0] + S[2] + 1) >> 1;
}
if (x <= size.width)
{
D[blue<<1] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1] + 2) >> 2;
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2-(blue<<1)] = S[0];
D += dcn;
++S;
}
for (int i = 0; i < dcn; ++i)
{
D[i] = D[-dcn + i];
D[-dstep+dcn+i] = D[-dstep+(dcn<<1)+i];
}
start_with_green ^= 1;
blue ^= 1;
S += 2;
D += 2*dcn;
}
}
private:
const Mat src;
Mat dst;
const Size size;
const int Blue, Start_with_green;
const Bayer2RGB_EdgeAware_T_Invoker& operator= (const Bayer2RGB_EdgeAware_T_Invoker&);
Bayer2RGB_EdgeAware_T_Invoker(const Bayer2RGB_EdgeAware_T_Invoker&);
};
template <typename T>
static void Bayer2RGB_EdgeAware_T(const Mat& src, Mat& dst, int code)
{
Size size = src.size();
// for small sizes
if (size.width <= 2 || size.height <= 2)
{
dst = Scalar::all(0);
return;
}
size.width -= 2;
size.height -= 1;
int start_with_green = code == CV_BayerGB2BGR_EA || code == CV_BayerGR2BGR_EA ? 1 : 0;
int blue = code == CV_BayerGB2BGR_EA || code == CV_BayerBG2BGR_EA ? 1 : 0;
Bayer2RGB_EdgeAware_T_Invoker<T> invoker(src, dst, size, blue, start_with_green);
Range range(1, size.height);
parallel_for_(range, invoker);
size.width += 2;
T* firstRow = reinterpret_cast<T*>(dst.data), *lastRow = reinterpret_cast<T*>(dst.data + size.height * dst.step);
size.width *= dst.channels();
int dstep = dst.step / dst.elemSize1();
for (int x = 0; x < size.width; ++x)
{
firstRow[x] = firstRow[dstep + x];
lastRow[x] = lastRow[-dstep+x];
}
}
} // end namespace cv
//////////////////////////////////////////////////////////////////////////////////////////
// The main Demosaicing function //
//////////////////////////////////////////////////////////////////////////////////////////
void cv::demosaicing(InputArray _src, OutputArray _dst, int code, int dcn)
{
Mat src = _src.getMat(), dst;
Size sz = src.size();
int scn = src.channels(), depth = src.depth();
CV_Assert(depth == CV_8U || depth == CV_16U);
CV_Assert(!src.empty());
switch (code)
{
case CV_BayerBG2GRAY: case CV_BayerGB2GRAY: case CV_BayerRG2GRAY: case CV_BayerGR2GRAY:
if (dcn <= 0)
dcn = 1;
CV_Assert( scn == 1 && dcn == 1 );
_dst.create(sz, CV_MAKETYPE(depth, dcn));
dst = _dst.getMat();
if( depth == CV_8U )
Bayer2Gray_<uchar, SIMDBayerInterpolator_8u>(src, dst, code);
else if( depth == CV_16U )
Bayer2Gray_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->Gray demosaicing only supports 8u and 16u types");
break;
case CV_BayerBG2BGR: case CV_BayerGB2BGR: case CV_BayerRG2BGR: case CV_BayerGR2BGR:
case CV_BayerBG2BGR_VNG: case CV_BayerGB2BGR_VNG: case CV_BayerRG2BGR_VNG: case CV_BayerGR2BGR_VNG:
{
if (dcn <= 0)
dcn = 3;
CV_Assert( scn == 1 && (dcn == 3 || dcn == 4) );
_dst.create(sz, CV_MAKE_TYPE(depth, dcn));
Mat dst_ = _dst.getMat();
if( code == CV_BayerBG2BGR || code == CV_BayerGB2BGR ||
code == CV_BayerRG2BGR || code == CV_BayerGR2BGR )
{
if( depth == CV_8U )
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>(src, dst_, code);
else if( depth == CV_16U )
Bayer2RGB_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst_, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->RGB demosaicing only supports 8u and 16u types");
}
else
{
CV_Assert( depth == CV_8U );
Bayer2RGB_VNG_8u(src, dst_, code);
}
}
break;
case CV_BayerBG2BGR_EA: case CV_BayerGB2BGR_EA: case CV_BayerRG2BGR_EA: case CV_BayerGR2BGR_EA:
if (dcn <= 0)
dcn = 3;
CV_Assert(scn == 1 && dcn == 3);
_dst.create(sz, CV_MAKETYPE(depth, dcn));
dst = _dst.getMat();
if (depth == CV_8U)
Bayer2RGB_EdgeAware_T<uchar>(src, dst, code);
else if (depth == CV_16U)
Bayer2RGB_EdgeAware_T<ushort>(src, dst, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->RGB Edge-Aware demosaicing only currently supports 8u and 16u types");
break;
default:
CV_Error( CV_StsBadFlag, "Unknown / unsupported color conversion code" );
}
}
modules/imgproc/test/test_color.cpp
View file @ 5225672d
...@@ -1685,12 +1685,14 @@ TEST(Imgproc_ColorBayer, accuracy) { CV_ColorBayerTest test; test.safe_run(); } ...@@ -1685,12 +1685,14 @@ TEST(Imgproc_ColorBayer, accuracy) { CV_ColorBayerTest test; test.safe_run(); }
TEST(Imgproc_ColorBayer, regression) TEST(Imgproc_ColorBayer, regression)
{ {
cvtest::TS& ts = *cvtest::TS::ptr(); cvtest::TS* ts = cvtest::TS::ptr();
Mat given = imread(string(ts.get_data_path()) + "/cvtcolor/bayer_input.png", CV_LOAD_IMAGE_GRAYSCALE); Mat given = imread(string(ts->get_data_path()) + "/cvtcolor/bayer_input.png", CV_LOAD_IMAGE_GRAYSCALE);
Mat gold = imread(string(ts.get_data_path()) + "/cvtcolor/bayer_gold.png", CV_LOAD_IMAGE_UNCHANGED); Mat gold = imread(string(ts->get_data_path()) + "/cvtcolor/bayer_gold.png", CV_LOAD_IMAGE_UNCHANGED);
Mat result; Mat result;
CV_Assert(given.data != NULL && gold.data != NULL);
cvtColor(given, result, CV_BayerBG2GRAY); cvtColor(given, result, CV_BayerBG2GRAY);
EXPECT_EQ(gold.type(), result.type()); EXPECT_EQ(gold.type(), result.type());
...@@ -1705,10 +1707,10 @@ TEST(Imgproc_ColorBayer, regression) ...@@ -1705,10 +1707,10 @@ TEST(Imgproc_ColorBayer, regression)
TEST(Imgproc_ColorBayerVNG, regression) TEST(Imgproc_ColorBayerVNG, regression)
{ {
cvtest::TS& ts = *cvtest::TS::ptr(); cvtest::TS* ts = cvtest::TS::ptr();
Mat given = imread(string(ts.get_data_path()) + "/cvtcolor/bayer_input.png", CV_LOAD_IMAGE_GRAYSCALE); Mat given = imread(string(ts->get_data_path()) + "/cvtcolor/bayer_input.png", CV_LOAD_IMAGE_GRAYSCALE);
string goldfname = string(ts.get_data_path()) + "/cvtcolor/bayerVNG_gold.png"; string goldfname = string(ts->get_data_path()) + "/cvtcolor/bayerVNG_gold.png";
Mat gold = imread(goldfname, CV_LOAD_IMAGE_UNCHANGED); Mat gold = imread(goldfname, CV_LOAD_IMAGE_UNCHANGED);
Mat result; Mat result;
...@@ -1731,73 +1733,52 @@ TEST(Imgproc_ColorBayerVNG, regression) ...@@ -1731,73 +1733,52 @@ TEST(Imgproc_ColorBayerVNG, regression)
} }
} }
TEST(Imgproc_ColorBayerVNG_Strict, regression) // creating Bayer pattern
template <typename T, int depth>
static void calculateBayerPattern(const Mat& src, Mat& bayer, const char* pattern)
{ {
cvtest::TS& ts = *cvtest::TS::ptr();
const char pattern[][3] = { "bg", "gb", "rg", "gr" };
const std::string image_name = "lena.png";
const std::string parent_path = string(ts.get_data_path()) + "/cvtcolor_strict/";
Mat src, dst, bayer, reference;
std::string full_path = parent_path + image_name;
src = imread(full_path, CV_LOAD_IMAGE_UNCHANGED);
Size ssize = src.size(); Size ssize = src.size();
const int scn = 1;
bayer.create(ssize, CV_MAKETYPE(depth, scn));
if (src.data == NULL) if (!strcmp(pattern, "bg"))
{
ts.set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
ts.printf(cvtest::TS::SUMMARY, "No input image\n");
ts.set_gtest_status();
return;
}
int type = -1;
for (int i = 0; i < 4; ++i)
{
// creating Bayer pattern
bayer.create(ssize, CV_MAKETYPE(src.depth(), 1));
if (!strcmp(pattern[i], "bg"))
{ {
for (int y = 0; y < ssize.height; ++y) for (int y = 0; y < ssize.height; ++y)
for (int x = 0; x < ssize.width; ++x) for (int x = 0; x < ssize.width; ++x)
{ {
if ((x + y) % 2) if ((x + y) % 2)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[1]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[1]);
else if (x % 2) else if (x % 2)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[0]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[0]);
else else
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[2]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[2]);
} }
type = CV_BayerBG2BGR_VNG;
} }
else if (!strcmp(pattern[i], "gb")) else if (!strcmp(pattern, "gb"))
{ {
for (int y = 0; y < ssize.height; ++y) for (int y = 0; y < ssize.height; ++y)
for (int x = 0; x < ssize.width; ++x) for (int x = 0; x < ssize.width; ++x)
{ {
if ((x + y) % 2 == 0) if ((x + y) % 2 == 0)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[1]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[1]);
else if (x % 2 == 0) else if (x % 2 == 0)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[0]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[0]);
else else
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[2]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[2]);
} }
type = CV_BayerGB2BGR_VNG;
} }
else if (!strcmp(pattern[i], "rg")) else if (!strcmp(pattern, "rg"))
{ {
for (int y = 0; y < ssize.height; ++y) for (int y = 0; y < ssize.height; ++y)
for (int x = 0; x < ssize.width; ++x) for (int x = 0; x < ssize.width; ++x)
{ {
if ((x + y) % 2) if ((x + y) % 2)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[1]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[1]);
else if (x % 2 == 0) else if (x % 2 == 0)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[0]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[0]);
else else
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[2]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[2]);
} }
type = CV_BayerRG2BGR_VNG;
} }
else else
{ {
...@@ -1805,17 +1786,41 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression) ...@@ -1805,17 +1786,41 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression)
for (int x = 0; x < ssize.width; ++x) for (int x = 0; x < ssize.width; ++x)
{ {
if ((x + y) % 2 == 0) if ((x + y) % 2 == 0)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[1]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[1]);
else if (x % 2) else if (x % 2)
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[0]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[0]);
else else
bayer.at<uchar>(y, x) = src.at<Vec3b>(y, x)[2]; bayer.at<T>(y, x) = static_cast<T>(src.at<Vec3b>(y, x)[2]);
} }
type = CV_BayerGR2BGR_VNG;
} }
}
TEST(Imgproc_ColorBayerVNG_Strict, regression)
{
cvtest::TS* ts = cvtest::TS::ptr();
const char pattern[][3] = { "bg", "gb", "rg", "gr" };
const std::string image_name = "lena.png";
const std::string parent_path = string(ts->get_data_path()) + "/cvtcolor_strict/";
Mat src, dst, bayer, reference;
std::string full_path = parent_path + image_name;
src = imread(full_path, CV_LOAD_IMAGE_UNCHANGED);
if (src.data == NULL)
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
ts->printf(cvtest::TS::SUMMARY, "No input image\n");
ts->set_gtest_status();
return;
}
for (int i = 0; i < 4; ++i)
{
calculateBayerPattern<uchar, CV_8U>(src, bayer, pattern[i]);
CV_Assert(!bayer.empty() && bayer.type() == CV_8UC1);
// calculating a dst image // calculating a dst image
cvtColor(bayer, dst, type); cvtColor(bayer, dst, CV_BayerBG2BGR_VNG + i);
// reading a reference image // reading a reference image
full_path = parent_path + pattern[i] + image_name; full_path = parent_path + pattern[i] + image_name;
...@@ -1829,16 +1834,17 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression) ...@@ -1829,16 +1834,17 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression)
if (reference.depth() != dst.depth() || reference.channels() != dst.channels() || if (reference.depth() != dst.depth() || reference.channels() != dst.channels() ||
reference.size() != dst.size()) reference.size() != dst.size())
{ {
ts.set_failed_test_info(cvtest::TS::FAIL_MISMATCH); std::cout << reference(Rect(0, 0, 5, 5)) << std::endl << std::endl << std::endl;
ts.printf(cvtest::TS::SUMMARY, "\nReference channels: %d\n" ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
ts->printf(cvtest::TS::SUMMARY, "\nReference channels: %d\n"
"Actual channels: %d\n", reference.channels(), dst.channels()); "Actual channels: %d\n", reference.channels(), dst.channels());
ts.printf(cvtest::TS::SUMMARY, "\nReference depth: %d\n" ts->printf(cvtest::TS::SUMMARY, "\nReference depth: %d\n"
"Actual depth: %d\n", reference.depth(), dst.depth()); "Actual depth: %d\n", reference.depth(), dst.depth());
ts.printf(cvtest::TS::SUMMARY, "\nReference rows: %d\n" ts->printf(cvtest::TS::SUMMARY, "\nReference rows: %d\n"
"Actual rows: %d\n", reference.rows, dst.rows); "Actual rows: %d\n", reference.rows, dst.rows);
ts.printf(cvtest::TS::SUMMARY, "\nReference cols: %d\n" ts->printf(cvtest::TS::SUMMARY, "\nReference cols: %d\n"
"Actual cols: %d\n", reference.cols, dst.cols); "Actual cols: %d\n", reference.cols, dst.cols);
ts.set_gtest_status(); ts->set_gtest_status();
return; return;
} }
...@@ -1849,16 +1855,15 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression) ...@@ -1849,16 +1855,15 @@ TEST(Imgproc_ColorBayerVNG_Strict, regression)
int nonZero = countNonZero(diff.reshape(1) > 1); int nonZero = countNonZero(diff.reshape(1) > 1);
if (nonZero != 0) if (nonZero != 0)
{ {
ts.set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts.printf(cvtest::TS::SUMMARY, "\nCount non zero in absdiff: %d\n", nonZero); ts->printf(cvtest::TS::SUMMARY, "\nCount non zero in absdiff: %d\n", nonZero);
ts.set_gtest_status(); ts->set_gtest_status();
return; return;
} }
} }
} }
static void getTestMatrix(Mat& src)
void GetTestMatrix(Mat& src)
{ {
Size ssize(1000, 1000); Size ssize(1000, 1000);
src.create(ssize, CV_32FC3); src.create(ssize, CV_32FC3);
...@@ -1883,7 +1888,7 @@ void GetTestMatrix(Mat& src) ...@@ -1883,7 +1888,7 @@ void GetTestMatrix(Mat& src)
} }
} }
void validate_result(const Mat& reference, const Mat& actual, const Mat& src = Mat(), int mode = -1) static void validateResult(const Mat& reference, const Mat& actual, const Mat& src = Mat(), int mode = -1)
{ {
cvtest::TS* ts = cvtest::TS::ptr(); cvtest::TS* ts = cvtest::TS::ptr();
Size ssize = reference.size(); Size ssize = reference.size();
...@@ -1924,8 +1929,7 @@ void validate_result(const Mat& reference, const Mat& actual, const Mat& src = M ...@@ -1924,8 +1929,7 @@ void validate_result(const Mat& reference, const Mat& actual, const Mat& src = M
TEST(Imgproc_ColorLab_Full, accuracy) TEST(Imgproc_ColorLab_Full, accuracy)
{ {
Mat src; Mat src;
GetTestMatrix(src); getTestMatrix(src);
Mat reference(src.size(), CV_32FC3);
Size ssize = src.size(); Size ssize = src.size();
CV_Assert(ssize.width == ssize.height); CV_Assert(ssize.width == ssize.height);
...@@ -1942,12 +1946,247 @@ TEST(Imgproc_ColorLab_Full, accuracy) ...@@ -1942,12 +1946,247 @@ TEST(Imgproc_ColorLab_Full, accuracy)
cv::Mat recons; cv::Mat recons;
cv::cvtColor(lab, recons, inverse_code); cv::cvtColor(lab, recons, inverse_code);
validate_result(src, recons, src, forward_code); validateResult(src, recons, src, forward_code);
}
static void test_Bayer2RGB_EdgeAware_8u(const Mat& src, Mat& dst, int code)
{
if (dst.empty())
dst.create(src.size(), CV_MAKETYPE(src.depth(), 3));
Size size = src.size();
size.width -= 1;
size.height -= 1;
int dcn = dst.channels();
CV_Assert(dcn == 3);
int step = src.step;
const uchar* S = src.ptr<uchar>(1) + 1;
uchar* D = dst.ptr<uchar>(1) + dcn;
// src *= 255.0f; int start_with_green = code == CV_BayerGB2BGR_EA || code == CV_BayerGR2BGR_EA ? 1 : 0;
// recons *= 255.0f; int blue = code == CV_BayerGB2BGR_EA || code == CV_BayerBG2BGR_EA ? 1 : 0;
// imshow("Test", src); for (int y = 1; y < size.height; ++y)
// imshow("OpenCV", recons); {
// waitKey(); S = src.ptr<uchar>(y) + 1;
D = dst.ptr<uchar>(y) + dcn;
if (start_with_green)
{
for (int x = 1; x < size.width; x += 2, S += 2, D += 2*dcn)
{
// red
D[0] = (S[-1] + S[1]) / 2;
D[1] = S[0];
D[2] = (S[-step] + S[step]) / 2;
if (!blue)
std::swap(D[0], D[2]);
}
S = src.ptr<uchar>(y) + 2;
D = dst.ptr<uchar>(y) + 2*dcn;
for (int x = 2; x < size.width; x += 2, S += 2, D += 2*dcn)
{
// red
D[0] = S[0];
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[step] - S[-step]) ? (S[step] + S[-step]) : (S[-1] + S[1])) / 2;
D[2] = ((S[-step-1] + S[-step+1] + S[step-1] + S[step+1]) / 4);
if (!blue)
std::swap(D[0], D[2]);
}
}
else
{
for (int x = 1; x < size.width; x += 2, S += 2, D += 2*dcn)
{
D[0] = S[0];
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[step] - S[-step]) ? (S[step] + S[-step]) : (S[-1] + S[1])) / 2;
D[2] = ((S[-step-1] + S[-step+1] + S[step-1] + S[step+1]) / 4);
if (!blue)
std::swap(D[0], D[2]);
}
S = src.ptr<uchar>(y) + 2;
D = dst.ptr<uchar>(y) + 2*dcn;
for (int x = 2; x < size.width; x += 2, S += 2, D += 2*dcn)
{
D[0] = (S[-1] + S[1]) / 2;
D[1] = S[0];
D[2] = (S[-step] + S[step]) / 2;
if (!blue)
std::swap(D[0], D[2]);
}
}
D = dst.ptr<uchar>(y + 1) - dcn;
for (int i = 0; i < dcn; ++i)
{
D[i] = D[-dcn + i];
D[-static_cast<int>(dst.step)+dcn+i] = D[-static_cast<int>(dst.step)+(dcn<<1)+i];
}
start_with_green ^= 1;
blue ^= 1;
}
++size.width;
uchar* firstRow = dst.data, *lastRow = dst.data + size.height * dst.step;
size.width *= dcn;
for (int x = 0; x < size.width; ++x)
{
firstRow[x] = firstRow[dst.step + x];
lastRow[x] = lastRow[-static_cast<int>(dst.step)+x];
}
}
template <typename T>
static void checkData(const Mat& actual, const Mat& reference, cvtest::TS* ts, const char* type,
bool& next, const char* bayer_type)
{
EXPECT_EQ(actual.size(), reference.size());
EXPECT_EQ(actual.channels(), reference.channels());
EXPECT_EQ(actual.depth(), reference.depth());
Size size = reference.size();
size.width *= reference.channels();
for (int y = 0; y < size.height && next; ++y)
{
const T* A = reinterpret_cast<const T*>(actual.data + actual.step * y);
const T* R = reinterpret_cast<const T*>(reference.data + reference.step * y);
for (int x = 0; x < size.width && next; ++x)
if (std::abs(A[x] - R[x]) > 1)
{
#define SUM cvtest::TS::SUMMARY
ts->printf(SUM, "\nReference value: %d\n", static_cast<int>(R[x]));
ts->printf(SUM, "Actual value: %d\n", static_cast<int>(A[x]));
ts->printf(SUM, "(y, x): (%d, %d)\n", y, x / reference.channels());
ts->printf(SUM, "Pattern: %s\n", type);
ts->printf(SUM, "Bayer image type: %s", bayer_type);
#undef SUM
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts->set_gtest_status();
next = false;
}
}
}
TEST(ImgProc_BayerEdgeAwareDemosaicing, accuracy)
{
cvtest::TS* ts = cvtest::TS::ptr();
const std::string image_name = "lena.png";
const std::string parent_path = string(ts->get_data_path()) + "/cvtcolor_strict/";
Mat src, bayer;
std::string full_path = parent_path + image_name;
src = imread(full_path, CV_LOAD_IMAGE_UNCHANGED);
if (src.data == NULL)
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
ts->printf(cvtest::TS::SUMMARY, "No input image\n");
ts->set_gtest_status();
return;
}
/*
COLOR_BayerBG2BGR_EA = 127,
COLOR_BayerGB2BGR_EA = 128,
COLOR_BayerRG2BGR_EA = 129,
COLOR_BayerGR2BGR_EA = 130,
*/
bool next = true;
const char* types[] = { "bg", "gb", "rg", "gr" };
for (int i = 0; i < 4 && next; ++i)
{
calculateBayerPattern<uchar, CV_8U>(src, bayer, types[i]);
Mat reference;
test_Bayer2RGB_EdgeAware_8u(bayer, reference, CV_BayerBG2BGR_EA + i);
for (int t = 0; t <= 1; ++t)
{
if (t == 1)
calculateBayerPattern<unsigned short int, CV_16U>(src, bayer, types[i]);
CV_Assert(!bayer.empty() && (bayer.type() == CV_8UC1 || bayer.type() == CV_16UC1));
Mat actual;
cv::demosaicing(bayer, actual, CV_BayerBG2BGR_EA + i);
if (t == 0)
checkData<unsigned char>(actual, reference, ts, types[i], next, "CV_8U");
else
{
Mat tmp;
reference.convertTo(tmp, CV_16U);
checkData<unsigned short int>(actual, tmp, ts, types[i], next, "CV_16U");
}
}
}
}
TEST(ImgProc_Bayer2RGBA, accuracy)
{
cvtest::TS* ts = cvtest::TS::ptr();
Mat raw = imread(string(ts->get_data_path()) + "/cvtcolor/bayer_input.png", CV_LOAD_IMAGE_GRAYSCALE);
Mat rgb, reference;
CV_Assert(raw.channels() == 1);
CV_Assert(raw.depth() == CV_8U);
CV_Assert(!raw.empty());
for (int code = CV_BayerBG2BGR; code <= CV_BayerGR2BGR; ++code)
{
cvtColor(raw, rgb, code);
cvtColor(rgb, reference, CV_BGR2BGRA);
Mat actual;
cvtColor(raw, actual, code, 4);
EXPECT_EQ(reference.size(), actual.size());
EXPECT_EQ(reference.depth(), actual.depth());
EXPECT_EQ(reference.channels(), actual.channels());
Size ssize = raw.size();
int cn = reference.channels();
ssize.width *= cn;
bool next = true;
for (int y = 0; y < ssize.height && next; ++y)
{
const uchar* rD = reference.ptr<uchar>(y);
const uchar* D = actual.ptr<uchar>(y);
for (int x = 0; x < ssize.width && next; ++x)
if (abs(rD[x] - D[x]) >= 1)
{
next = false;
ts->printf(cvtest::TS::SUMMARY, "Error in: (%d, %d)\n", x / cn, y);
ts->printf(cvtest::TS::SUMMARY, "Reference value: %d\n", rD[x]);
ts->printf(cvtest::TS::SUMMARY, "Actual value: %d\n", D[x]);
ts->printf(cvtest::TS::SUMMARY, "Src value: %d\n", raw.ptr<uchar>(y)[x]);
ts->printf(cvtest::TS::SUMMARY, "Size: (%d, %d)\n", reference.rows, reference.cols);
Mat diff;
absdiff(actual, reference, diff);
cv::Rect r(0, ssize.height - 5, 7, 5);
std::cout << "Actual: " << std::endl << actual(r) << std::endl << std::endl;
std::cout << "Reference: " << std::endl << reference(r) << std::endl << std::endl;
std::cout << "Difference: " << std::endl << diff(r) << std::endl << std::endl;
imshow("Diff", diff);
waitKey();
EXPECT_EQ(countNonZero(diff.reshape(1) > 1), 0);
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts->set_gtest_status();
}
}
}
} }
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