Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
Joint Authors
Guan, Qiu
Zhao, Yanwei
Wang, Wan Liang
Yang, Ping
Zheng, Jianwei
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In image denoising (IDN) processing, the low-rank property is usually considered as an important image prior.
As a convex relaxation approximation of low rank, nuclear norm-based algorithms and their variants have attracted a significant attention.
These algorithms can be collectively called image domain-based methods whose common drawback is the requirement of great number of iterations for some acceptable solution.
Meanwhile, the sparsity of images in a certain transform domain has also been exploited in image denoising problems.
Sparsity transform learning algorithms can achieve extremely fast computations as well as desirable performance.
By taking both advantages of image domain and transform domain in a general framework, we propose a sparsifying transform learning and weighted singular values minimization method (STLWSM) for IDN problems.
The proposed method can make full use of the preponderance of both domains.
For solving the nonconvex cost function, we also present an efficient alternative solution for acceleration.
Experimental results show that the proposed STLWSM achieves improvement both visually and quantitatively with a large margin over state-of-the-art approaches based on an alternatively single domain.
It also needs much less iteration than all the image domain algorithms.
American Psychological Association (APA)
Zhao, Yanwei& Yang, Ping& Guan, Qiu& Zheng, Jianwei& Wang, Wan Liang. 2020. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
Modern Language Association (MLA)
Zhao, Yanwei…[et al.]. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
American Medical Association (AMA)
Zhao, Yanwei& Yang, Ping& Guan, Qiu& Zheng, Jianwei& Wang, Wan Liang. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138834