Removal of Salt & Pepper Impulse Noise from Digital Images Using Modified Linear Prediction Based Switching Median Filter
Vinayakumar S Lonimath, Prakash Biswagar, Chetan Aivalli · 2013
This paper proposes the 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. The algorithm is further modified compared to the existing algorithm by choosing a larger window size and following an iterative procedure to enhance the performance of noise removal capability. Extensive simulations are carried out to validate the 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.