MRF-based adaptive detection approach: a framework for restoring image degraded by Gaussian noise

Authors:
Tuan-Anh Nguyen;Beomsu Kim;Min-Cheol Hong
Affiliations:
Soongsil University Sangdo-Ro, Seoul, South Korea;Soongsil University Sangdo-Ro, Seoul, South Korea;Soongsil University Sangdo-Ro, Seoul, South Korea
Venue:
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Year:
2013

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Abstract

This paper proposes a spatially adaptive noise-detection and removal algorithm. The noise component is estimated with local statistics from an observed degraded image. In addition, the first order MRF is effectively used to improve the noise detection performance prior to apply an adaptive low-pass filter having a variable filter window. Experimental results demonstrate the capability of the proposed algorithm.