Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Image denoising is a fundamental problem in realm of image processing.
A large amount of literature is dedicated to restoring an image corrupted by a certain type of noise.
However, little literature is concentrated on the scenario of mixed noise removal.
In this paper, based on the model of two-phase method for image denoising proposed by Cai et al.
(2008) and the idea of variable splitting, we are capable of decomposing the image denoising problem into subproblems with closed form.
Numerical results illustrate the validity and robustness of the proposed algorithms, especially for restoring the images contaminated by impulse plus Gaussian noise.
American Psychological Association (APA)
Wu, Tingting. 2016. Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111985
Modern Language Association (MLA)
Wu, Tingting. Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise. Mathematical Problems in Engineering No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1111985
American Medical Association (AMA)
Wu, Tingting. Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111985
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111985