Perceptual non local mean (P-NLM) denoising

In this paper we propose a denoising technique based on nonlocal means using an image similarity measure. The idea is to use the SVD-based image quality metric as a measure of neighborhood similarity. This measure is then used in the computation of the spatial Gaussian weighting kernel. We also develop an optimization computation scheme using a parallel architecture in order to accelerate the filtering process on different machines or different cores on the same machine. The obtained results are very promising.