Knowledge Commons of Institute of Automation,CAS
Image Deblurring with Coupled Dictionary Learning | |
Xiang, Shiming1; Meng, Gaofeng1; Wang, Ying1; Pan, Chunhong1; Zhang, Changshui2 | |
发表期刊 | INTERNATIONAL JOURNAL OF COMPUTER VISION |
2015-09-01 | |
卷号 | 114期号:2-3页码:248-271 |
文章类型 | Article |
摘要 | Image deblurring is a challenging problem in vision computing. Traditionally, this task is addressed as an inverse problem that is enclosed into the image itself. This paper presents a learning-based framework where the knowledge hidden in huge amounts of available data is explored and exploited for image deblurring. To this end, our algorithm is developed under the conceptual framework of coupled dictionary learning. Specifically, given pairs of blurred image patches and their corresponding clear ones, a learning model is constructed to learn a pair of dictionaries. Among them, one dictionary is responsible for the representation of clear images, while the other is responsible for that of the blurred images. Theoretically, the learning model is analyzed with coupled sparse representations for training samples. As the atoms of these dictionaries are coupled together one-by-one, the reconstruction information can be transmitted between the clear and blurry images. In application phase, the blurry dictionary is employed to reconstruct linearly the blurry image to be restored. Then, the reconstruction coefficients are kept unchanged along with the clear dictionary to restore the final results. The main advantage of our approach lies in that it works in the case of unknown blur kernels. Comparative experiments indicate the validity of our approach. |
关键词 | Image Deblurring Coupled Dictionary Learning Sparse Representation Multiple Kernel Deblurring |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1007/s11263-014-0755-z |
关键词[WOS] | SPARSE REPRESENTATION ; SINGLE IMAGE ; K-SVD ; SUPERRESOLUTION ; RESTORATION ; ALGORITHM ; APPROXIMATION ; DECONVOLUTION ; OPTIMIZATION ; REGRESSION |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000360071900009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8962 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Tsinghua Univ, Dept Automat, TNList, Beijing 100084, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Xiang, Shiming,Meng, Gaofeng,Wang, Ying,et al. Image Deblurring with Coupled Dictionary Learning[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2015,114(2-3):248-271. |
APA | Xiang, Shiming,Meng, Gaofeng,Wang, Ying,Pan, Chunhong,&Zhang, Changshui.(2015).Image Deblurring with Coupled Dictionary Learning.INTERNATIONAL JOURNAL OF COMPUTER VISION,114(2-3),248-271. |
MLA | Xiang, Shiming,et al."Image Deblurring with Coupled Dictionary Learning".INTERNATIONAL JOURNAL OF COMPUTER VISION 114.2-3(2015):248-271. |
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