Automatic estimation and removal of noise on digital image

Automatic estimation and removal of noise on digital image

An spatially adaptive noise detection and removal algorithm is proposed.Under the assumption that an observed image and its additive noise have Gaussian distribution,the noise parameters are estimated with local statistics from an observed degraded image,and the parameters are used to define the con...

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Veröffentlicht in:测试科学与仪器 2013, Vol.4 (3), p.256-262
1. Verfasser: Tuananh Nguyen Beomsu Kim Mincheol Hong
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description An spatially adaptive noise detection and removal algorithm is proposed.Under the assumption that an observed image and its additive noise have Gaussian distribution,the noise parameters are estimated with local statistics from an observed degraded image,and the parameters are used to define the constraints on the noise detection process.In addition,an adaptive low-pass filter having a variable filter window 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.
doi_str_mv 10.3969/j.issn.1674-8042.2013.03.012
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title Automatic estimation and removal of noise on digital image
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