Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images
Joint Authors
Deng, Hongyao
Song, Xiuli
Zhu, Qingxin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-19
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Impulsive noise removal for color images usually employs vector median filter, switching median filter, the total variation L1 method, and variants.
These approaches, however, often introduce excessive smoothing and can result in extensive visual feature blurring and thus are suitable only for images with low density noise.
A marginal method to reduce impulsive noise is proposed in this paper that overcomes this limitation that is based on the following facts: (i) each channel in a color image is contaminated independently, and contaminative components are independent and identically distributed; (ii) in a natural image the gradients of different components of a pixel are similar to one another.
This method divides components into different categories based on different noise characteristics.
If an image is corrupted by salt-and-pepper noise, the components are divided into the corrupted and the noise-free components; if the image is corrupted by random-valued impulses, the components are divided into the corrupted, noise-free, and the possibly corrupted components.
Components falling into different categories are processed differently.
If a component is corrupted, modified total variation diffusion is applied; if it is possibly corrupted, scaled total variation diffusion is applied; otherwise, the component is left unchanged.
Simulation results demonstrate its effectiveness.
American Psychological Association (APA)
Deng, Hongyao& Zhu, Qingxin& Song, Xiuli. 2017. Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images. Journal of Sensors،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1187360
Modern Language Association (MLA)
Deng, Hongyao…[et al.]. Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images. Journal of Sensors No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1187360
American Medical Association (AMA)
Deng, Hongyao& Zhu, Qingxin& Song, Xiuli. Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1187360
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187360