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Image Restoration Based on the Hybrid Total-Variation-Type Model
Joint Authors
Yang, Yu-Fei
Shi, Baoli
Pang, Zhi-Feng
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-30, 30 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-29
Country of Publication
Egypt
No. of Pages
30
Main Subjects
Abstract EN
We propose a hybrid total-variation-type model for the image restoration problem based on combining advantages of the ROF model with the LLT model.
Since two L1-norm terms in the proposed model make it difficultly solved by using some classically numerical methods directly, we first employ the alternating direction method of multipliers (ADMM) to solve a general form of the proposed model.
Then, based on the ADMM and the Moreau-Yosida decomposition theory, a more efficient method called the proximal point method (PPM) is proposed and the convergence of the proposed method is proved.
Some numerical results demonstrate the viability and efficiency of the proposed model and methods.
American Psychological Association (APA)
Shi, Baoli& Pang, Zhi-Feng& Yang, Yu-Fei. 2012. Image Restoration Based on the Hybrid Total-Variation-Type Model. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-30.
https://search.emarefa.net/detail/BIM-467258
Modern Language Association (MLA)
Shi, Baoli…[et al.]. Image Restoration Based on the Hybrid Total-Variation-Type Model. Abstract and Applied Analysis No. 2012 (2012), pp.1-30.
https://search.emarefa.net/detail/BIM-467258
American Medical Association (AMA)
Shi, Baoli& Pang, Zhi-Feng& Yang, Yu-Fei. Image Restoration Based on the Hybrid Total-Variation-Type Model. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-30.
https://search.emarefa.net/detail/BIM-467258
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467258