Tuananh Nguyen, Beomsu Kim, Mincheol Hong
School of Information and Telecommunication, Soongsil University, Seoul 156-743 , Korea
Abstract： An spatially adaptive noise detection and removal algorithm is propo sed. Under the assumption that an observed image and its additive noise have Gau ssian distribution, the noise parameters are estimated with local statistics fro m an observed degraded image, and the parameters are used to define the constrai nts on the noise detection process. In addition, an adaptive low-pass filter hav ing a variable filter window defined by the constraints on noise detection is us ed to control the degree of smoothness of the reconstructed image. Experimental results demonstrate the capability of the proposed algorithm.
Key words： noise estimation; denoising; noise parameters; local statistics; ada ptive filter
CLD number： TN911.73 Document code： A
Article ID： 1674-8042(2013)03-0256-07 doi： 10.3969/j.issn.1674-8042.2013.03.0 12
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