Automatic stopping criterion in fields-of-experts image denoising

Zhi Zhang; Peng Zhang; Ping Zhong; Runsheng Wang

doi:10.1117/1.3456368

1 June 2010 Automatic stopping criterion in fields-of-experts image denoising

Zhi Zhang, Peng Zhang, Ping Zhong, Runsheng Wang

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Optical Engineering, Vol. 49, Issue 6, 060504 (June 2010). https://doi.org/10.1117/1.3456368

Abstract

Fields of experts (FoE) image denoising is one of the most promising high-order Markov random field (MRF)-based image denoising methods. However, the original algorithm by Roth and Black did not consider the parameter selection problem in its iteration, so it cannot be directly applied to real image denoising tasks. An automatic stopping criterion in FoE image denoising is introduced, through which the denoised image can be obtained without reference image and noise variance estimation. Experimental results validate its better performance than the classic FoE method, both on synthetic and real noisy images.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Zhi Zhang, Peng Zhang, Ping Zhong, and Runsheng Wang "Automatic stopping criterion in fields-of-experts image denoising," Optical Engineering 49(6), 060504 (1 June 2010). https://doi.org/10.1117/1.3456368

Published: 1 June 2010

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