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Image Recovery Algorithm Based on Learned Dictionary
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We proposed a recovery scheme for image deblurring.
The scheme is under the framework of sparse representation and it has three main contributions.
Firstly, considering the sparse property of natural image, the nonlocal overcompleted dictionaries are learned for image patches in our scheme.
And, then, we coded the patches in each nonlocal clustering with the corresponding learned dictionary to recover the whole latent image.
In addition, for some practical applications, we also proposed a method to evaluate the blur kernel to make the algorithm usable in blind image recovery.
The experimental results demonstrated that the proposed scheme is competitive with some current state-of-the-art methods.
American Psychological Association (APA)
Zhu, Xinghui& Kui, Fang. 2014. Image Recovery Algorithm Based on Learned Dictionary. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-511983
Modern Language Association (MLA)
Zhu, Xinghui& Kui, Fang. Image Recovery Algorithm Based on Learned Dictionary. Mathematical Problems in Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-511983
American Medical Association (AMA)
Zhu, Xinghui& Kui, Fang. Image Recovery Algorithm Based on Learned Dictionary. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-511983
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511983