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Image restoration with edge-preserving regularization in wavelet domain
X. Cao; M. Yi; X. Wang; S. Peng; Xuegang Cao
Conference Name2005 IEEE Networking Sensing and Control ICNSC2005
Pagespp 543-548
Conference Date2005/3/19-2005/3/22
Conference PlaceUnited statesTucson AZ United states
Abstractmage restorationis an ill posed problem and must be regularized. Usually the difficulty of regularization is to suppressthe noise but not smooth the edges. In order to preserve the edges of restored image effectivelya general wavelet-domain edge-preserving regularization scheme which is analogous to the space-domainmaximum(Iposterior probability(MAP)estimation in Markov random field (MRF) is proposed. The corresponding solving strategy of the wavelet-domain regularization is also put forward. Several potential functions which have the ability of edge-preserving are analyzed and tested. To get rid of the Gibbs effects brought during the wavelet-domain restoration the horizontal (or vertical) continuity in horizontal (or vertical) subbandof natural image is employedin the form of an additional penalty. And experiments are presented to verify the theoretical results.
Document Type会议论文
Corresponding AuthorXuegang Cao
Recommended Citation
GB/T 7714
X. Cao,M. Yi,X. Wang,et al. Image restoration with edge-preserving regularization in wavelet domain[C],2005:pp 543-548.
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