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http://dx.doi.org/10.6109/jkiice.2011.15.10.2239

A Study on Image Restoration for Removing Mixed Noise while Considering Edge Information  

Gao, Yinyu (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.10, 2011 , pp. 2239-2246 More about this Journal
Abstract
In image signal processing, image signal is corrupted by various noises and caused the degradation phenomenon. And Images often corrupted by AWGN(additive white gaussian noise) and impulse noise which called mixed noise. In this paper, the algorithm is proposed to remove mixed noise while keeping edge information. The proposed algorithm first classifies the noise type, if the classify result is AWGN, then the mean of the output after using self-adaptive weighted mean filter and median value will be the outfiltering value. And if the noise type is impulse noise, then the noise is removed by a modified nonlinear filter. Also we compare existing methods through the simulation and using PSNR(peak signal to noise ratio) as the standard of judgement of improvement effect. The result of computer simulation on test images indicates that the proposed method is superior to traditional filtering algorithms.
Keywords
Impulse noise; AWGN; Edge; Mixed noise; PSNR;
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