I'm trying to convert image with RGB colorspace into LMS model. The transformation matrix value I got from this [paper](https://arxiv.org/pdf/1711.10662.pdf). I read this [Question : RGB to LMS color space conversion with OpenCV](https://stackoverflow.com/questions/35671531/rgb-to-lms-color-space-conversion-with-opencv), we referred to the same paper and I already followed all the instructions in the answer.
To make sure my codes do well, I convert the original RGB into LMS, then convert the LMS back into RGB using inverse matrix of the first matrix, and see if the output matches the original image.
But the output doesn't match the original image source.
Here's my code :
void test(const Mat &original, Mat &pic, int rows, int cols)
{
for (int i = 0; i < original.rows; i++) {
for (int j = 0; j < original.cols; j++) {
//RGB into LMS
pic.at(i, j)[0] = original.at(i, j)[0] * 1.4671 +
original.at(i, j)[1] * 0.1843 +
original.at(i, j)[2] * 0.003; //B-->S
pic.at(i, j)[1] = original.at(i, j)[0] * 3.8671 +
original.at(i, j)[1] * 27.1554 +
original.at(i, j)[2] * 3.4557; //G-->M
pic.at(i, j)[2] = original.at(i, j)[0] * 4.1194 +
original.at(i, j)[1] * 43.5161 +
original.at(i, j)[2] * 17.8824; //R-->L
//LMS back into RGB
pic.at(i, j)[0] = pic.at(i, j)[0] * 0.6935 +
pic.at(i, j)[1] * -0.0041 +
pic.at(i, j)[2] * -0.0004; //S-->B
pic.at(i, j)[1] = pic.at(i, j)[0] * -0.1136 +
pic.at(i, j)[1] * 0.0540 +
pic.at(i, j)[2] * -0.0102; //M-->G
pic.at(i, j)[2] = pic.at(i, j)[0] * 0.1167 +
pic.at(i, j)[1] * -0.1305 +
pic.at(i, j)[2] * 0.0809; //L-->R
}
}
}
Main
int main(int argv, char** argc){
Mat original= imread("original.png", CV_LOAD_IMAGE_COLOR);
int rows = original.rows;
int cols = original.cols;
Mat pic(rows, cols, CV_8UC3);
test(original, pic, rows, cols);
imwrite("pic.png", pic);
}
Any suggestion ? Any help will be appreciated.
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