I'm currently working on algorithm for denoising images. I need to compare my algorithm with other, existing algorithms, but to do so I need a good quality measure.
The main goal for such measure is to be close to human perception skills. I know, that it is almost impossible, but there are good perceptual measures for audio signals. Are there any similar algorithms for images?
Right now I'm using simple measures, such as mean squared error (MSE), signal to noise ratio (SNR) etc...
And for your information, I'm currently implementing this in matlab
Have you check out SSIM (http://en.wikipedia.org/wiki/Structural_similarity) ? The following page (http://www.ece.uwaterloo.ca/~z70wang/research/ssim/) gives you a real example on how SSIM works compared to MSE.