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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...
The Non-Local Means (NLM) denoising algorithm uses a weighted average of pixels, within a defined search region in an image, to estimate the noise-free pixel value. The search region is usually a rectangular neighborhood, centered at the pixel of interest, which may include pixels whose original gray value do not match the value of the original central pixel. Consequently, their participation in the...
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