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Fast and reliable image-noise estimation using a hybrid approach

[+] Author Affiliations
Shih-Ming Yang

National Cheng Kung University, Department of Electrical Engineering, No. 1 University Road, Tainan, Taiwan 701

Shen-Chuan Tai

National Cheng Kung University, Department of Electrical Engineering, No. 1 University Road, Tainan, Taiwan 701

J. Electron. Imaging. 19(3), 033007 (August 11, 2010). doi:10.1117/1.3476329
History: Received October 14, 2009; Revised June 04, 2010; Accepted June 27, 2010; Published August 11, 2010; Online August 11, 2010
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Image denoising algorithms often require their parameters to be adjusted according to the noise level. We propose a fast and reliable method for estimating image noise. The input image is assumed to be contaminated by an additive white Gaussian noise process. To exclude structures or details from contributing to the estimation of noise variance, a Sobel edge detection operator with a self-determined threshold is first applied to each image block. Then a filter operation, followed by an averaging of the convolutions over the selected blocks, provides a very accurate estimation of noise variance. We successfully combine the effectiveness of filter-based approaches with the efficiency of block-based approaches, and the simulated results demonstrate that the proposed method performs well for a variety of images over a large range of noise variances. Performance comparisons against other approaches are also provided.

© 2010 SPIE and IS&T

Citation

Shih-Ming Yang and Shen-Chuan Tai
"Fast and reliable image-noise estimation using a hybrid approach", J. Electron. Imaging. 19(3), 033007 (August 11, 2010). ; http://dx.doi.org/10.1117/1.3476329


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