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The Nonlocal Sparse Reconstruction Algorithm by Similarity Measurement with Shearlet Feature Vector
Joint Authors
Xiaodong, Yang
Yun, Lin
Yibing, Li
Wu, Qi-di
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Due to the limited accuracy of conventional methods with image restoration, the paper supplied a nonlocal sparsity reconstruction algorithm with similarity measurement.
To improve the performance of restoration results, we proposed two schemes to dictionary learning and sparse coding, respectively.
In the part of the dictionary learning, we measured the similarity between patches from degraded image by constructing the Shearlet feature vector.
Besides, we classified the patches into different classes with similarity and trained the cluster dictionary for each class, by cascading which we could gain the universal dictionary.
In the part of sparse coding, we proposed a novel optimal objective function with the coding residual item, which can suppress the residual between the estimate coding and true sparse coding.
Additionally, we show the derivation of self-adaptive regularization parameter in optimization under the Bayesian framework, which can make the performance better.
It can be indicated from the experimental results that by taking full advantage of similar local geometric structure feature existing in the nonlocal patches and the coding residual suppression, the proposed method shows advantage both on visual perception and PSNR compared to the conventional methods.
American Psychological Association (APA)
Wu, Qi-di& Yibing, Li& Yun, Lin& Xiaodong, Yang. 2014. The Nonlocal Sparse Reconstruction Algorithm by Similarity Measurement with Shearlet Feature Vector. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-482895
Modern Language Association (MLA)
Wu, Qi-di…[et al.]. The Nonlocal Sparse Reconstruction Algorithm by Similarity Measurement with Shearlet Feature Vector. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-482895
American Medical Association (AMA)
Wu, Qi-di& Yibing, Li& Yun, Lin& Xiaodong, Yang. The Nonlocal Sparse Reconstruction Algorithm by Similarity Measurement with Shearlet Feature Vector. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-482895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482895