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http://dx.doi.org/10.9717/kmms.2013.16.12.1368

MRF-based Adaptive Noise Detection Algorithm for Image Restoration  

Nguyen, Tuan-Anh (숭실대학교 정보통신전자공학부)
Hong, Min-Cheol (숭실대학교 정보통신전자공학부)
Publication Information
Journal of Korea Multimedia Society / v.16, no.12, 2013 , pp. 1368-1375 More about this Journal
Abstract
In this paper, we presents a spatially adaptive noise detection and removal algorithm. Under the assumption that an observed image and the additive noise have Gaussian distribution, the noise parameters are estimated with local statistics, and the parameters are used to define the constraints on the noise detection process, where the first order Markov Random Field (MRF) is used. In addition, an adaptive low-pass filter having a variable window sizes defined by the constraints on noise detection is used to control the degree of smoothness of the reconstructed image. Experimental results demonstrate the capability of the proposed algorithm.
Keywords
Local statistics; Noise detection; Noise removal; Markov Random Field; Smoothing constraint;
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Times Cited By KSCI : 1  (Citation Analysis)
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