A linear prediction based switching median filter for the removal of salt and pepper noise from highly corrupted image

In this paper, we propose a switching based median filter for preserving the image details while reducing the streaking problem in gray scale images corrupted by salt and pepper noise at high noise ratios. It effectively suppresses the noise in two stages. First, the noisy pixels are detected by using the signal dependent rank-ordered mean (SD-ROM) filter. In the second stage, the noisy pixels are first substituted by the first-order 1D causal linear prediction technique and subsequently replaced by the median value. Extensive simulations are carried out to validate our claim. Experimental results show improvements both visually and quantitatively compared to that of the state-of-the art switching based median filters at high noise ratios.