Commit 4bf1ccec authored by Alexander Alekhin's avatar Alexander Alekhin

Merge pull request #1932 from alalek:photo_move_durand_contrib

parents 09fc4303 b53cb764
set(the_description "Addon to basic photo module")
ocv_define_module(xphoto opencv_core opencv_imgproc WRAP python java)
ocv_define_module(xphoto opencv_core opencv_imgproc opencv_photo WRAP python java)
......@@ -6,7 +6,6 @@
year={2012},
publisher={Springer}
}
@inproceedings{Cheng2015,
title={Effective learning-based illuminant estimation using simple features},
author={Cheng, Dongliang and Price, Brian and Cohen, Scott and Brown, Michael S},
......@@ -14,3 +13,14 @@
pages={1000--1008},
year={2015}
}
@inproceedings{DD02,
author = {Durand, Fr{\'e}do and Dorsey, Julie},
title = {Fast bilateral filtering for the display of high-dynamic-range images},
booktitle = {ACM Transactions on Graphics (TOG)},
year = {2002},
pages = {257--266},
volume = {21},
number = {3},
publisher = {ACM},
url = {https://www.researchgate.net/profile/Julie_Dorsey/publication/220184746_Fast_Bilateral_Filtering_for_the_Display_of_High_-_dynamic_-_range_Images/links/54566b000cf26d5090a95f96/Fast-Bilateral-Filtering-for-the-Display-of-High-dynamic-range-Images.pdf}
}
......@@ -50,4 +50,6 @@
#include "xphoto/white_balance.hpp"
#include "xphoto/dct_image_denoising.hpp"
#include "xphoto/bm3d_image_denoising.hpp"
#include "xphoto/tonemap.hpp"
#endif
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_XPHOTO_TONEMAP_HPP
#define OPENCV_XPHOTO_TONEMAP_HPP
#include "opencv2/photo.hpp"
namespace cv { namespace xphoto {
//! @addtogroup xphoto
//! @{
/** @brief This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter
and compresses contrast of the base layer thus preserving all the details.
This implementation uses regular bilateral filter from OpenCV.
Saturation enhancement is possible as in cv::TonemapDrago.
For more information see @cite DD02 .
*/
class CV_EXPORTS_W TonemapDurand : public Tonemap
{
public:
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
CV_WRAP virtual float getContrast() const = 0;
CV_WRAP virtual void setContrast(float contrast) = 0;
CV_WRAP virtual float getSigmaSpace() const = 0;
CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0;
CV_WRAP virtual float getSigmaColor() const = 0;
CV_WRAP virtual void setSigmaColor(float sigma_color) = 0;
};
/** @brief Creates TonemapDurand object
You need to set the OPENCV_ENABLE_NONFREE option in cmake to use those. Use them at your own risk.
@param gamma gamma value for gamma correction. See createTonemap
@param contrast resulting contrast on logarithmic scale, i. e. log(max / min), where max and min
are maximum and minimum luminance values of the resulting image.
@param saturation saturation enhancement value. See createTonemapDrago
@param sigma_space bilateral filter sigma in color space
@param sigma_color bilateral filter sigma in coordinate space
*/
CV_EXPORTS_W Ptr<TonemapDurand>
createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f);
}} // namespace
#endif // OPENCV_XPHOTO_TONEMAP_HPP
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include <opencv2/core.hpp>
#include <opencv2/core/utils/trace.hpp>
#include "opencv2/imgproc.hpp"
#include "opencv2/xphoto.hpp"
namespace cv { namespace xphoto {
#ifdef OPENCV_ENABLE_NONFREE
static inline
void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation)
{
std::vector<Mat> channels(3);
split(src, channels);
for(int i = 0; i < 3; i++) {
channels[i] = channels[i].mul(1.0f / lum);
pow(channels[i], saturation, channels[i]);
channels[i] = channels[i].mul(new_lum);
}
merge(channels, dst);
}
static inline
void log_(const Mat& src, Mat& dst)
{
max(src, Scalar::all(1e-4), dst);
log(dst, dst);
}
class TonemapDurandImpl CV_FINAL : public TonemapDurand
{
public:
TonemapDurandImpl(float _gamma, float _contrast, float _saturation, float _sigma_color, float _sigma_space) :
name("TonemapDurand"),
gamma(_gamma),
contrast(_contrast),
saturation(_saturation),
sigma_color(_sigma_color),
sigma_space(_sigma_space)
{
}
void process(InputArray _src, OutputArray _dst) CV_OVERRIDE
{
CV_TRACE_FUNCTION();
Mat src = _src.getMat();
CV_Assert(!src.empty());
_dst.create(src.size(), CV_32FC3);
Mat img = _dst.getMat();
Ptr<Tonemap> linear = createTonemap(1.0f);
linear->process(src, img);
Mat gray_img;
cvtColor(img, gray_img, COLOR_RGB2GRAY);
Mat log_img;
log_(gray_img, log_img);
Mat map_img;
bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space);
double min, max;
minMaxLoc(map_img, &min, &max);
float scale = contrast / static_cast<float>(max - min);
exp(map_img * (scale - 1.0f) + log_img, map_img);
log_img.release();
mapLuminance(img, img, gray_img, map_img, saturation);
pow(img, 1.0f / gamma, img);
}
float getGamma() const CV_OVERRIDE { return gamma; }
void setGamma(float val) CV_OVERRIDE { gamma = val; }
float getSaturation() const CV_OVERRIDE { return saturation; }
void setSaturation(float val) CV_OVERRIDE { saturation = val; }
float getContrast() const CV_OVERRIDE { return contrast; }
void setContrast(float val) CV_OVERRIDE { contrast = val; }
float getSigmaColor() const CV_OVERRIDE { return sigma_color; }
void setSigmaColor(float val) CV_OVERRIDE { sigma_color = val; }
float getSigmaSpace() const CV_OVERRIDE { return sigma_space; }
void setSigmaSpace(float val) CV_OVERRIDE { sigma_space = val; }
void write(FileStorage& fs) const CV_OVERRIDE
{
writeFormat(fs);
fs << "name" << name
<< "gamma" << gamma
<< "contrast" << contrast
<< "sigma_color" << sigma_color
<< "sigma_space" << sigma_space
<< "saturation" << saturation;
}
void read(const FileNode& fn) CV_OVERRIDE
{
FileNode n = fn["name"];
CV_Assert(n.isString() && String(n) == name);
gamma = fn["gamma"];
contrast = fn["contrast"];
sigma_color = fn["sigma_color"];
sigma_space = fn["sigma_space"];
saturation = fn["saturation"];
}
protected:
String name;
float gamma, contrast, saturation, sigma_color, sigma_space;
};
Ptr<TonemapDurand> createTonemapDurand(float gamma, float contrast, float saturation, float sigma_color, float sigma_space)
{
return makePtr<TonemapDurandImpl>(gamma, contrast, saturation, sigma_color, sigma_space);
}
#else
Ptr<TonemapDurand> createTonemapDurand(float /*gamma*/, float /*contrast*/, float /*saturation*/, float /*sigma_color*/, float /*sigma_space*/)
{
CV_Error(Error::StsNotImplemented,
"This algorithm is patented and is excluded in this configuration; "
"Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library");
}
#endif // OPENCV_ENABLE_NONFREE
}} // namespace
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
namespace opencv_test { namespace {
using namespace cv::xphoto;
#ifdef OPENCV_ENABLE_NONFREE
void loadImage(string path, Mat &img)
{
img = imread(path, -1);
ASSERT_FALSE(img.empty()) << "Could not load input image " << path;
}
void checkEqual(Mat img0, Mat img1, double threshold, const string& name)
{
double max = 1.0;
minMaxLoc(abs(img0 - img1), NULL, &max);
ASSERT_FALSE(max > threshold) << "max=" << max << " threshold=" << threshold << " method=" << name;
}
TEST(Photo_Tonemap, Durand_regression)
{
string test_path = string(cvtest::TS::ptr()->get_data_path()) + "cv/hdr/tonemap/";
Mat img, expected, result;
loadImage(test_path + "image.hdr", img);
float gamma = 2.2f;
Ptr<TonemapDurand> durand = createTonemapDurand(gamma);
durand->process(img, result);
loadImage(test_path + "durand.png", expected);
result.convertTo(result, CV_8UC3, 255);
checkEqual(result, expected, 3, "Durand");
}
#endif // OPENCV_ENABLE_NONFREE
}} // namespace
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