I'm trying to read an RGB 8-bit image, converting it into Lab and save it. The result is always interpreted as an RGB image and it's very strange (saturated).
I tried not to normalize values or to use RGB2Lab or to convert the images to 32FC but nothing works.
Mat image = imread(path);
cvtColor(image , image , COLOR_BGR2Lab);
Mat imageSplitted[3];
split(image, imageSplitted);
Mat* imageNormalized = normalizeLabValues(imageSplitted);
Mat imageMerged;
merge(imageNormalized, 3, imageMerged);
imwrite(newPathFiltered, imageMerged);
The normalizeLabValues is a function that provides to solve the problem of 8-bit images converted to Lab:
Mat* normalizeLabValues(Mat image[]) {
int rows = image[0].rows;
int cols = image[0].cols;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
// L
Scalar intensity = image[0].at<uchar>(i, j);
Scalar normalized_intensity = intensity.val[0] * 100 / 256;
image[0].at<uchar>(i, j) = normalized_intensity.val[0];
// a
intensity = image[1].at<uchar>(i, j);
normalized_intensity = intensity.val[0] - 126;
image[1].at<uchar>(i, j) = normalized_intensity.val[0];
// b
intensity = image[2].at<uchar>(i, j);
normalized_intensity = intensity.val[0] - 126;
image[2].at<uchar>(i, j) = normalized_intensity.val[0];
}
}
return image;
}
I'd like to obtain a Lab image but if I try to open the results with Photoshop it's RGB and highly saturated.