Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm
Joint Authors
Chen, Leiting
Yang, Hao
Luo, Xueping
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and nonblind image deblurring problems.
In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the existence and uniqueness of the solution for mixed quasi-variational inequality.
Moreover, the convergence of a modified projection algorithm for solving mixed quasi-variational inequalities is also shown.
The corresponding experimental results support our theoretical findings.
American Psychological Association (APA)
Yang, Hao& Luo, Xueping& Chen, Leiting. 2016. Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112412
Modern Language Association (MLA)
Yang, Hao…[et al.]. Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112412
American Medical Association (AMA)
Yang, Hao& Luo, Xueping& Chen, Leiting. Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112412
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112412
