A Local Similarity Pattern for Removal of Random Valued Impulse Noise
Jianhua Shan, Liangliang Zhu · Journal of Multimedia · 2014
This letter presents a new filtering scheme based on local similarity pattern within the local window for removing random valued impulse noise. A pixel to be considered as an original pixel, it should have ample numbers of similar neighboring pixels in a local window. The neighbors are divided into 2 subtypes: smooth similar neighbors and edge similar neighbors according to the different criterion. Extensive simulations show that the proposed filter provides better performance than many of the existing filters. In particular, the thresholds are adaptive to diverse image types at different noise rate and the computational complexity is very low.