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Optical Engineering • Open Access

Automatic stopping criterion in fields-of-experts image denoising
Author(s): Zhi Zhang; Peng Zhang; Ping Zhong; Runsheng Wang

Paper 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.

Paper Details

Date Published: 1 June 2010
PDF: 3 pages
Opt. Eng. 49(6) 060504 doi: 10.1117/1.3456368
Published in: Optical Engineering Volume 49, Issue 6
Show Author Affiliations
Zhi Zhang, National Univ. of Defense Technology (China)
Peng Zhang, National Univ. of Defense Technology (China)
Ping Zhong, National Univ. of Defense Technology (China)
Runsheng Wang, National Univ. of Defense Technology (China)

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