A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images
Joint Authors
Wu, Meng
Guo, Di
Wu, Keshou
Qu, Xiaobo
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Images are often corrupted by impulse noise.
In this paper, an alternating direction minimization with continuation algorithm is modified and iteratively used to remove the impulse noise in images by exploring its self-similarity.
A patch-based nonlocal operator and sparse representation are married in the l1-l1 optimization model to be solved.
Simulation results demonstrate that the proposed algorithm outperforms typical denoising methods in terms of preserving edges and textures for both salt-and-pepper noise and random-valued impulse noise.
It can be also applied to suppress impulse noise-like artifacts in real mural images.
American Psychological Association (APA)
Guo, Di& Qu, Xiaobo& Wu, Meng& Wu, Keshou. 2014. A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483739
Modern Language Association (MLA)
Guo, Di…[et al.]. A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images. Journal of Applied Mathematics No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-483739
American Medical Association (AMA)
Guo, Di& Qu, Xiaobo& Wu, Meng& Wu, Keshou. A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483739