Learning block-structured incoherent dictionaries for sparse representation
文献类型：期刊论文
| 作者 | YongQin Zhang; JinSheng Xiao; ShuHong Li; CaiYun Shi; GuoXi Xie |
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2015 |
| 英文摘要 | Dictionary learning is still a challenging problem in signal and image processing. In this paper, we propose an efficient block-structured incoherentdictionary learning algorithm for sparse representations of image signals. The constrained minimization of dictionary learning is achieved by iteratively alternating between sparse coding and dictionary update. Without relying on any prior knowledge of the group structure for the input data, we develop a two-stage clustering method that identifies the underlying block structure of the dictionary under certain restricted constraints. The two-stage clustering method mainly consists of affinity propagation and agglomerative hierarchical clustering. To meet the conditions of both the upper bound and the lower bound of the mutual coherence of dictionary atoms, we introduce a regularization term for the objective function to adjust the block coherence of the overcomplete dictionary. The experiments on synthetic data and real images demonstrate that the proposed dictionary learning algorithm has lowerrepresentation error, higher visual quality and better reconstructed results than most of the state-of-the-art methods. |
| 收录类别 | SCI |
| 原文出处 | http://link.springer.com/article/10.1007/s11432-014-5258-6 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7167]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | SCIENCE CHINA-INFORMATION SCIENCES |
| 推荐引用方式 GB/T 7714 | YongQin Zhang,JinSheng Xiao,ShuHong Li,et al. Learning block-structured incoherent dictionaries for sparse representation[J]. SCIENCE CHINA-INFORMATION SCIENCES,2015. |
| APA | YongQin Zhang,JinSheng Xiao,ShuHong Li,CaiYun Shi,&GuoXi Xie.(2015).Learning block-structured incoherent dictionaries for sparse representation.SCIENCE CHINA-INFORMATION SCIENCES. |
| MLA | YongQin Zhang,et al."Learning block-structured incoherent dictionaries for sparse representation".SCIENCE CHINA-INFORMATION SCIENCES (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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