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Markovian clustering for the non-local means image denoising
2009 16th IEEE International Conference on Image Processing (ICIP)
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar pixels are very small, high number of these pixels results in introduction of blur. In this work, we introduce an automatic and robust method to select the best candidate pixels based on their similarity to the target pixel. This method is based on graphs partitioning and uses Markovian clustering on the pixeldoi:10.1109/icip.2009.5414041 dblp:conf/icip/HedjamMC09 fatcat:n7r4447ukfcrncv5uwhykggxqe