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The Proceedings of the 4th International Conference on Industrial Application Engineering 2016
Non-local mean (NLM) is one of the most effective image denoising methods currently available. It calculates weights of neighboring pixels based on the similarity between two image patches. The pixel is then estimated by the weighted sum of the neighboring pixels and itself. Because the large number of the patches needs to be compared, NLM incurs extremely high computational cost. In this paper, we propose to use binary descriptors to reject dissimilar patches from the computation and improvedoi:10.12792/iciae2016.056 fatcat:plqnfn6asjeftg6vn4hazo2lnu