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Dictionary-Based Image Denoising by Fused-Lasso Atom Selection
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We proposed an efficient image denoising scheme by fused lasso with dictionary learning.
The scheme has two important contributions.
The first one is that we learned the patch-based adaptive dictionary by principal component analysis (PCA) with clustering the image into many subsets, which can better preserve the local geometric structure.
The second one is that we coded the patches in each subset by fused lasso with the clustering learned dictionary and proposed an iterative Split Bregman to solve it rapidly.
We present the capabilities with several experiments.
The results show that the proposed scheme is competitive to some excellent denoising algorithms.
American Psychological Association (APA)
Li, Ao& Shouno, Hayaru. 2014. Dictionary-Based Image Denoising by Fused-Lasso Atom Selection. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1044199
Modern Language Association (MLA)
Li, Ao& Shouno, Hayaru. Dictionary-Based Image Denoising by Fused-Lasso Atom Selection. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1044199
American Medical Association (AMA)
Li, Ao& Shouno, Hayaru. Dictionary-Based Image Denoising by Fused-Lasso Atom Selection. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1044199
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044199