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

Content Provider	IEEE Xplore Digital Library
Author	Deka, B. Baishnab, D.
Copyright Year	2012
Description	Author affiliation: Department of Electronics and Communication Engg., Tezpur Central University, Tezpur, 784028, India (Deka, B.; Baishnab, D.)
Abstract	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.
Starting Page	99
Ending Page	103
File Size	693381
Page Count	5
File Format	PDF
ISBN	9781457707193
e-ISBN	9781457707209
DOI	10.1109/NCCISP.2012.6189686
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-02
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear Prediction Maximum likelihood detection PSNR Switches Nonlinear filters Impulse noise SD-ROM filter Switching median filter Noise measurement Streaking effect
Content Type	Text
Resource Type	Article

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