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Alternatively Constrained Dictionary Learning for Image Superresolution
Lu, Xiaoqiang; Yuan, Yuan; Yan, Pingkun
作者部门光学影像学习与分析中心
2014-03-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
卷号44期号:3页码:366-377
摘要Dictionaries are crucial in sparse coding-based algorithms for image superresolution. Sparse coding is a typical unsupervised learning method to study the relationship between the patches of high-and low-resolution images. However, most of the sparse coding methods for image superresolution fail to simultaneously consider the geometrical structure of the dictionary and the corresponding coefficients, which may result in noticeable superresolution reconstruction artifacts. In other words, when a low-resolution image and its corresponding high-resolution image are represented in their feature spaces, the two sets of dictionaries and the obtained coefficients have intrinsic links, which has not yet been well studied. Motivated by the development on nonlocal self-similarity and manifold learning, a novel sparse coding method is reported to preserve the geometrical structure of the dictionary and the sparse coefficients of the data. Moreover, the proposed method can preserve the incoherence of dictionary entries and provide the sparse coefficients and learned dictionary from a new perspective, which have both reconstruction and discrimination properties to enhance the learning performance. Furthermore, to utilize the model of the proposed method more effectively for single-image superresolution, this paper also proposes a novel dictionarypair learning method, which is named as two-stage dictionary training. Extensive experiments are carried out on a large set of images comparing with other popular algorithms for the same purpose, and the results clearly demonstrate the effectiveness of the proposed sparse representation model and the corresponding dictionary learning algorithm.
文章类型Article
关键词Image Superresolution Manifold Learning Non-local Self-similarity Two-stage Dictionary Training (Tsdt)
WOS标题词Science & Technology ; Technology
DOI10.1109/TCYB.2013.2256347
收录类别SCI ; EI
关键词[WOS]INTERPOLATION ; FEATURES
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000331906100006
引用统计
被引频次:80[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/22358
专题光谱成像技术研究室
作者单位Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
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Lu, Xiaoqiang,Yuan, Yuan,Yan, Pingkun. Alternatively Constrained Dictionary Learning for Image Superresolution[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(3):366-377.
APA Lu, Xiaoqiang,Yuan, Yuan,&Yan, Pingkun.(2014).Alternatively Constrained Dictionary Learning for Image Superresolution.IEEE TRANSACTIONS ON CYBERNETICS,44(3),366-377.
MLA Lu, Xiaoqiang,et al."Alternatively Constrained Dictionary Learning for Image Superresolution".IEEE TRANSACTIONS ON CYBERNETICS 44.3(2014):366-377.
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