Pixon-based image denoising with Markov random fields

CASIA OpenIR > 09年以前成果

	Pixon-based image denoising with Markov random fields
	Lu, Q ; Jiang, TZ
发表期刊	PATTERN RECOGNITION
	2001-10-01
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：12[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
推荐引用方式 GB/T 7714	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.