Efficient algorithm for salt and pepper noise removal

摘要

In this paper an efficient nonlinear decision based filter is proposed to remove salt and pepper impulse noise. Propose filter is a two stage filter that incorporates a powerful impulse noise detection method, called the modified boundary discriminative noise detection (MBDND) [1] to determine whether the current pixel is corrupted or not. In the second stage a Euclidean distance algorithm [2] is used to restore the corrupted pixels. Extensive experimental results demonstrate that proposed filters performs significantly better than many existing, well accepted and recently proposed median and decision based filters for both gray scale and color images corrupted up to 70% of salt and pepper noise.