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#include "precomp.hpp"
#include "opencv2/photo.hpp"
#include "hdr_common.hpp"
namespace cv
{
void checkImageDimensions(const std::vector<Mat>& images)
{
CV_Assert(!images.empty());
int width = images[0].cols;
int height = images[0].rows;
int type = images[0].type();
for(size_t i = 0; i < images.size(); i++) {
CV_Assert(images[i].cols == width && images[i].rows == height);
CV_Assert(images[i].type() == type);
}
}
Mat tringleWeights()
{
Mat w(LDR_SIZE, 1, CV_32F);
int half = LDR_SIZE / 2;
for(int i = 0; i < LDR_SIZE; i++) {
w.at<float>(i) = i < half ? i + 1.0f : LDR_SIZE - i;
}
return w;
}
Mat RobertsonWeights()
{
Mat weight(LDR_SIZE, 1, CV_32FC3);
float q = (LDR_SIZE - 1) / 4.0f;
for(int i = 0; i < LDR_SIZE; i++) {
float value = i / q - 2.0f;
value = exp(-value * value);
weight.at<Vec3f>(i) = Vec3f::all(value);
}
return weight;
}
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);
}
Mat linearResponse(int channels)
{
Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels));
for(int i = 0; i < LDR_SIZE; i++) {
response.at<Vec3f>(i) = Vec3f::all(static_cast<float>(i));
}
return response;
}
}