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Image completion with patch sparsity-based global optimization
Zhang, Xi; Liu, Bo; Zhang, X. (zhangxi5017@gmail.com)
Department空间技术部
Source PublicationICCRD2011 - 2011 3rd International Conference on Computer Research and Development
2011
Pages62-66
Language英语
ISBN9781612848372
AbstractThis paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper: 1) Priority based on patch sparsity. The scheme provides a reasonable synthesizing order for belief propagation algorithm, which encourages regions with salient structures to synthesize first. 2) Dynamic structural label pruning. To restrict faulty label candidates, we add structural information into previous label pruning step. We demonstrate our approach can complete natural images and photographs coherently. © 2011 IEEE.; This paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper: 1) Priority based on patch sparsity. The scheme provides a reasonable synthesizing order for belief propagation algorithm, which encourages regions with salient structures to synthesize first. 2) Dynamic structural label pruning. To restrict faulty label candidates, we add structural information into previous label pruning step. We demonstrate our approach can complete natural images and photographs coherently. © 2011 IEEE.
Conference Name2011 3rd International Conference on Computer Research and Development, ICCRD 2011
Conference DateMarch 11, 2011 - March 15, 2011
Conference PlaceShanghai, China
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3323
Collection其他部室
Corresponding AuthorZhang, X. (zhangxi5017@gmail.com)
Recommended Citation
GB/T 7714
Zhang, Xi,Liu, Bo,Zhang, X. . Image completion with patch sparsity-based global optimization[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2011:62-66.
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