Effect of correlation between Non-Local Means patch dissimilarities on search region adaptation for improved image denoising

In this paper we refer to the correlation analysis between the Non-Local Means (NLM) dissimilarity elements within a given search region. This analysis is required for a more accurate determination of a model-based adaptive search region that we introduced earlier. We explore three levels of correlation according to the degree of patches overlap and explain how this analysis can be used in our model-based NLM approach.