diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp
index 4b2a87c1cc..aeb54d5fe7 100644
--- a/modules/photo/include/opencv2/photo.hpp
+++ b/modules/photo/include/opencv2/photo.hpp
@@ -99,7 +99,7 @@ CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector<float>&
 CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, int algorithm,
 	                      const std::vector<float>& params = std::vector<float>());
 
-CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1, float ws = 1, float we = 0);
+CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1.0f, float ws = 1.0f, float we = 0.0f);
 
 CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst);
 
diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp
index dd9b9b0cfb..1a4d39ab5e 100644
--- a/modules/photo/src/hdr_fusion.cpp
+++ b/modules/photo/src/hdr_fusion.cpp
@@ -62,7 +62,7 @@ static Mat linearResponse()
 {
 	Mat response(256, 1, CV_32F);
     for(int i = 1; i < 256; i++) {
-        response.at<float>(i) = log((float)i);
+        response.at<float>(i) = logf((float)i);
     }
     response.at<float>(0) = response.at<float>(1);
 	return response;
@@ -84,7 +84,7 @@ static void modifyCheckResponse(Mat &response)
 	}
 }
 
-static void checkImages(std::vector<Mat>& images, bool hdr, const std::vector<float>& _exp_times = std::vector<float>())
+static void checkImages(const std::vector<Mat>& images, bool hdr, const std::vector<float>& _exp_times = std::vector<float>())
 {
 	CV_Assert(!images.empty());
 	CV_Assert(!hdr || images.size() == _exp_times.size());
@@ -132,7 +132,7 @@ void makeHDR(InputArrayOfArrays _images, const std::vector<float>& _exp_times, O
 
 	std::vector<float> exp_times(_exp_times.size());
 	for(size_t i = 0; i < exp_times.size(); i++) {
-		exp_times[i] = log(_exp_times[i]);
+        exp_times[i] = logf(_exp_times[i]);
 	}
 
 	float weights[256];
@@ -190,7 +190,7 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, floa
 			pow(deviation, 2.0, deviation);
 			saturation += deviation;
 		}
-		sqrt(saturation, saturation);
+        sqrt(saturation, saturation);
 
 		wellexp = Mat::ones(gray.size(), CV_32FC1);
 		for(int i = 0; i < 3; i++) {
@@ -209,7 +209,7 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, floa
 		weights[im] = weights[im].mul(wellexp);
 		weight_sum += weights[im];
 	}
-	int maxlevel = (int)(log((double)max(images[0].rows, images[0].cols)) / log(2.0)) - 1;
+    int maxlevel = static_cast<int>(logf(static_cast<float>(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1;
 	std::vector<Mat> res_pyr(maxlevel + 1);
 
 	for(size_t im = 0; im < images.size(); im++) {
@@ -291,4 +291,5 @@ void estimateResponse(InputArrayOfArrays _images, const std::vector<float>& exp_
 	}
 }
 
-};
\ No newline at end of file
+};
+
diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp
index af2b5d4438..19db4a47fd 100644
--- a/modules/photo/src/tonemap.cpp
+++ b/modules/photo/src/tonemap.cpp
@@ -40,6 +40,7 @@
 //
 //M*/
 
+#include "precomp.hpp"
 #include "opencv2/photo.hpp"
 #include "opencv2/imgproc.hpp"
 
@@ -52,8 +53,7 @@ static float getParam(const std::vector<float>& params, size_t i, float defval)
         return params[i];
     } else {
         return defval;
-    }
-        
+    }       
 }
 
 static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector<float>& params)
@@ -63,7 +63,7 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector<float>& param
     cvtColor(src_img, gray_img, COLOR_RGB2GRAY);
     Mat log_img;
     log(gray_img, log_img);
-    float mean = exp((float)sum(log_img)[0] / log_img.total());
+    float mean = expf(static_cast<float>(sum(log_img)[0]) / log_img.total());
     gray_img /= mean;
     log_img.release();
 
@@ -73,7 +73,7 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector<float>& param
     Mat map;
     log(gray_img + 1.0f, map);
     Mat div;
-    pow(gray_img / (float)max, log(bias_value) / log(0.5f), div);
+    pow(gray_img / (float)max, logf(bias_value) / logf(0.5f), div);
     log(2.0f + 8.0f * div, div);
     map = map.mul(1.0f / div);
     map = map.mul(1.0f / gray_img);