This is the authors' abstract. We don't add key points for this paper.
We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to scan a vast portion of the image in search of all the pixels that really resemble the pixel one wants to denoise. The paper presents two implementations of the method and displays some results.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Buades et al. (2011) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: