Documentation

doc/mymath.sty

-\ProvidesPackage{mymath}
-
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modules/highgui/src/grfmt_hdr.cpp

@@ -78,17 +78,19 @@ bool  HdrDecoder::readHeader()
 	return true;
 }
 
-bool HdrDecoder::readData(Mat& img)
+bool HdrDecoder::readData(Mat& _img)
 {
+	Mat img(m_height, m_width, CV_32FC3);
 	if(!file) {
 		readHeader();
 	}
-	if(img.cols != m_width || img.rows != m_height ||
-	   img.type() != CV_32FC3) {
-		CV_Error(Error::StsError, "HDR decoder: bad mat");
-	}
 	RGBE_ReadPixels_RLE(file, const_cast<float*>(img.ptr<float>()), img.cols, img.rows);
 	fclose(file); file = NULL;
+	if(_img.depth() == img.depth()) {
+		img.convertTo(_img, _img.type());
+	} else {
+		img.convertTo(_img, _img.type(), 255);
+	}
 	return true;
 }
 
@@ -115,10 +117,13 @@ HdrEncoder::~HdrEncoder()
 {
 }
 
-bool HdrEncoder::write( const Mat& img, const std::vector<int>& params )
+bool HdrEncoder::write( const Mat& _img, const std::vector<int>& params )
 {
-	if(img.type() != CV_32FC3) {
-		CV_Error(Error::StsBadArg, "HDR encoder: need 32FC3 mat");
+	Mat img;
+	if(_img.depth() == CV_32F) {
+		_img.convertTo(img, CV_32FC3);
+	} else {
+		_img.convertTo(img, CV_32FC3, 1/255.0f);
 	}
 	if(!(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE)) {
 		CV_Error(Error::StsBadArg, "HDR encoder: wrong compression param");

modules/photo/doc/hdr_imaging.rst

+HDR imaging
+==========
+
+.. highlight:: cpp
+
+makeHDR
+-----------
+Creates HDR image from a set of bracketed exposures using algorithm by Debevec and Malik.
+
+"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
+
+.. ocv:function:: void makeHDR(InputArrayOfArrays srcImgs, const std::vector<float>& expTimes, OutputArray dst, bool align = false)
+   
+   :param src_imgs: vector of 8-bit 3-channel images
+    
+   :param exp_times: exposure times for each of source images
+   
+   :param dst: output image
+   
+   :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`.
+   
+tonemap
+-----------
+Tonemaps image.
+
+.. ocv:function:: tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector<float>& params = std::vector<float>())
+   
+   :param src: input HDR image
+    
+   :param dst: floating-point image in [0; 1] range
+   
+   :param algorithm:   
+                     * TONEMAP_LINEAR - simple linear mapping
+                     
+                     * TONEMAP_DRAGO - "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003
+                     
+                     * TONEMAP_REINHARD - "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005
+                     
+                     * TONEMAP_DURAND - "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002
+   
+   :param params: vector of parameters for specified algorithm.
+                  If some parameters are missing default values are used.
+                  The first element is gamma value for gamma correction.
+                  
+                  * TONEMAP_LINEAR: 
+				  
+                      No parameters.
+                  
+                  * TONEMAP_DRAGO:
+				  
+                      params[1] - value for bias function. Range [0.7, 0.9], default 0.85.
+                  
+                  * TONEMAP_REINHARD: 
+                  
+                      params[1] - result intensity. Range [-8, 8], default 0.
+                  
+                      params[2] - chromatic adaptation. Range [0, 1], default 0.
+                                     
+                      params[3] - light adaptation. Range [0, 1], default 0;
+                                     
+                  * TONEMAP_DURAND: 
+
+                      params[1] - result contrast on logarithmic scale.
+                                     
+                      params[2] - bilateral filter sigma in the color space.
+                                   
+                      params[3] - bilateral filter sigma in the coordinate space.
+   
+exposureFusion
+-----------
+Fuses a bracketed exposure sequence into a single image without converting to HDR first.
+
+"Exposure Fusion", Mertens et al., 2007
+
+.. ocv:function:: exposureFusion(InputArrayOfArrays src_imgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0)
+   
+   :param src_imgs: vector of 8-bit 3-channel images
+   
+   :param dst: output image. Although it's a floating-point image tonemapping is not necessary.
+   
+   :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`.
+   
+   :param wc: contrast factor weight
+   
+   :param ws: saturation factor weight
+   
+   :param we: well-exposedness factor weight
+   
+getExpShift
+-----------
+Calculates translation vector that can be used to align img1 with img0.
+Uses median threshold bitmap algorithm by Ward.
+
+"Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003
+
+.. ocv:function:: getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4)
+   
+   :param img0: 8-bit 1-channel image
+    
+   :param img1: 8-bit 1-channel image
+   
+   :param max_bits: logarithm to the base 2 of maximal shift in each dimension
+   
+   :param exclude_range: range value for exclusion bitmap. Refer to the article.
+  
+shiftMat
+-----------
+Shifts image filling the new regions with zeros.
+
+.. ocv:function:: shiftMat(InputArray src, Point shift, OutputArray dst)
+   
+   :param src: input image
+    
+   :param shift: shift vector
+   
+   :param dst: output image
\ No newline at end of file

modules/photo/doc/photo.rst

@@ -9,3 +9,4 @@ photo. Computational Photography
 
     inpainting
     denoising
+    hdr_imaging
\ No newline at end of file

modules/photo/src/align.cpp

@@ -102,9 +102,6 @@ static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range)
 void shiftMat(InputArray _src, Point shift, OutputArray _dst) 
 {
 	Mat src = _src.getMat();
-	if(src.depth() != CV_8U) {
-		CV_Error(Error::StsBadArg, "Image must have CV_8U depth.");
-	}
 	_dst.create(src.size(), src.type());
 	Mat dst = _dst.getMat();