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http://dx.doi.org/10.7840/kics.2013.38A.2.183

Adaptive Noise Detection and Removal Algorithm Using Local Statistics and Noise Estimation  

Nguyen, Tuan-Anh (숭실대학교 정보통신전자공학부)
Kim, Beomsu (숭실대학교 정보통신전자공학부)
Hong, Min-Cheol (숭실대학교 정보통신전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38A, no.2, 2013 , pp. 183-190 More about this Journal
Abstract
In this paper, we propose a spatially adaptive noise detection and removal algorithm for a single degraded image. Under the assumption that an observed image is Gaussian-distributed, the noise information is estimated by local statistics of degraded image, and the degree of the additive noise is detected by the local statistics of the estimated noise. In addition, we describe a noise removal method taking a modified Gaussian filter which is adaptively determined by filter parameters and window size. The experimental results demonstrate the capability of the proposed algorithm.
Keywords
Noise detection; noise estimation; local statistics; Gaussian filter; window size;
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Times Cited By KSCI : 1  (Citation Analysis)
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