Alternatively Constrained Dictionary Learning For Image Superresolution

Dictionaries are crucial in sparse coding-based algorithm 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 s...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 44; H. 3; S. 366 - 377
Hauptverfasser:	Lu, Xiaoqiang, Yuan, Yuan, Yan, Pingkun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Coding Dictionaries Encoding Image coding Image reconstruction Image superresolution Learning Machine learning Manifold learning Mathematical models nonlocal self-similarity Preserves Reconstruction Sparse approximation Superresolution Teaching methods Training two-stage dictionary training (TSDT) Unsupervised learning
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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