A Residual-Based Kernel Regression Method for Image Denoising
Joint Authors
Wang, Jiefei
Chen, Yupeng
Li, Tao
Shen, Lixin
Lu, Jian
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We propose a residual-based method for denoising images corrupted by Gaussian noise.
In the method, by combining bilateral filter and structure adaptive kernel filter together with the use of the image residuals, the noise is suppressed efficiently while the fine features, such as edges, of the images are well preserved.
Our experimental results show that, in comparison with several traditional filters and state-of-the-art denoising methods, the proposed method can improve the quality of the restored images significantly.
American Psychological Association (APA)
Wang, Jiefei& Chen, Yupeng& Li, Tao& Lu, Jian& Shen, Lixin. 2016. A Residual-Based Kernel Regression Method for Image Denoising. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112291
Modern Language Association (MLA)
Wang, Jiefei…[et al.]. A Residual-Based Kernel Regression Method for Image Denoising. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1112291
American Medical Association (AMA)
Wang, Jiefei& Chen, Yupeng& Li, Tao& Lu, Jian& Shen, Lixin. A Residual-Based Kernel Regression Method for Image Denoising. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112291
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112291