Improved non-local means filtering algorithm for image denoising

Abstract

A novel non-local means (NLM) filtering based image denoising method is proposed. This method is intended to promote the precision of denoising by introducing an optimized weight kernel of NLM filter and an improved neighborhood pre-classification strategy. Results on standard test image show that the proposed method is very successful in noise suppression and detail preserving.