Image restoration with edge-preserving regularization in wavelet domain
X. Cao; M. Yi; X. Wang; S. Peng; Xuegang Cao
2005
会议名称2005 IEEE Networking Sensing and Control ICNSC2005
页码pp 543-548
会议日期2005/3/19-2005/3/22
会议地点United statesTucson AZ United states
摘要mage 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.
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12894
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Xuegang Cao
推荐引用方式
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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