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


Vol. 38,  No. 2, pp. 183-190, Feb.  2013


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  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.

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  Cite this article

[IEEE Style]

T. Nguyen, B. Kim, M. Hong, "Adaptive Noise Detection and Removal Algorithm Using Local Statistics and Noise Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 2, pp. 183-190, 2013. DOI: .

[ACM Style]

Tuan-Anh Nguyen, Beomsu Kim, and Min-Cheol Hong. 2013. Adaptive Noise Detection and Removal Algorithm Using Local Statistics and Noise Estimation. The Journal of Korean Institute of Communications and Information Sciences, 38, 2, (2013), 183-190. DOI: .

[KICS Style]

Tuan-Anh Nguyen, Beomsu Kim, Min-Cheol Hong, "Adaptive Noise Detection and Removal Algorithm Using Local Statistics and Noise Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 2, pp. 183-190, 2. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880