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Pixon-based image denoising with Markov random fields
Lu, Q; Jiang, TZ
2001-10-01
发表期刊PATTERN RECOGNITION
卷号34期号:10页码:2029-2039
文章类型Article
摘要Image restoration is an essential preprocessing step for many image analysis applications. So far, the majority of works have been devoted to image denoising. For this issue, the most common problem is that some interesting structures in the image will be removed from the concerned image during noise suppression. Such interesting structures in an image often correspond to the discontinuities in the image. In this paper, we propose a novel pixon-based multiresolution method for image denoising. The key idea to our approach is that a pixon map is embedded into a MRF model under a Bayesian framework. The remarkable advantage of our approach over the existing works in this field is that restoring corrupted images and preserving the shape transitions in the restored results have been orchestrated very well. A simulated annealing algorithm is implemented to find the MAP solution. A measure of the performance of various algorithms has been defined and some quantitative comparisons between our approach and two typical filtering techniques have also been done. A lot of experiments illustrate that our method is much more effective and powerful in the noise reduction than the Wiener and median filtering techniques, two typical and widely used techniques. (C). 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
关键词Markov Random Fields Gibbs Random Fields Fuzzy Pixons Image Denoising Bayesian Estimation Simulated Annealing Multiresolution Technique
WOS标题词Science & Technology ; Technology
关键词[WOS]CONSTRAINED RESTORATION ; RECONSTRUCTION ; SEGMENTATION ; RECOVERY ; DISCONTINUITIES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000170417200013
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9823
专题09年以前成果
作者单位1.Queens Univ Belfast, Sch Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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Lu, Q,Jiang, TZ. Pixon-based image denoising with Markov random fields[J]. PATTERN RECOGNITION,2001,34(10):2029-2039.
APA Lu, Q,&Jiang, TZ.(2001).Pixon-based image denoising with Markov random fields.PATTERN RECOGNITION,34(10),2029-2039.
MLA Lu, Q,et al."Pixon-based image denoising with Markov random fields".PATTERN RECOGNITION 34.10(2001):2029-2039.
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