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A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal
Joint Authors
Deng, Hongyao
Song, Xiuli
Tao, Jinsong
Zhu, Qingxin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-27
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Impulsive noise removal usually employs median filtering, switching median filtering, 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 new method to remove noise is proposed in this paper to overcome this limitation, which divides pixels into different categories based on different noise characteristics.
If an image is corrupted by salt-and-pepper noise, the pixels are divided into corrupted and noise-free; if the image is corrupted by random valued impulses, the pixels are divided into corrupted, noise-free, and possibly corrupted.
Pixels falling into different categories are processed differently.
If a pixel is corrupted, modified total variation diffusion is applied; if the pixel is possibly corrupted, weighted total variation diffusion is applied; otherwise, the pixel is left unchanged.
Experimental results show that the proposed method is robust to different noise strengths and suitable for different images, with strong noise removal capability as shown by PSNR/SSIM results as well as the visual quality of restored images.
American Psychological Association (APA)
Deng, Hongyao& Zhu, Qingxin& Song, Xiuli& Tao, Jinsong. 2017. A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1139847
Modern Language Association (MLA)
Deng, Hongyao…[et al.]. A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-20.
https://search.emarefa.net/detail/BIM-1139847
American Medical Association (AMA)
Deng, Hongyao& Zhu, Qingxin& Song, Xiuli& Tao, Jinsong. A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1139847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139847