Nonlocal Adaptive Image Denoising Model
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
When denoising with the method of Weickert’s anisotropic diffusion equation, the textures and details will be compromised.
A fidelity term is added to Weickert’s equation, and the coefficient of fidelity term will vary adaptively with the instant image, which makes the diffusion term and the fidelity term come to a better compromise.
Otherwise, when deciding the edge directions, because of the strong smoothness of linear Gaussian function, a few other edge directions hiding in the main direction will be lost.
To preserve these detailed edge directions, Gaussian kernel is substituted for nonlinear wavelet threshold.
In addition, in order to preserve the textures and details as much as possible, a nonlocal diffusion tensor was introduced, and the two eigenvalues are reset by combining the two methods: edge-enhancing diffusion and coherence-enhancing diffusion.
Experiments show that the new model has an obvious effect on preserving textures and details.
American Psychological Association (APA)
Sun, Xiaoli& Xu, Chen& Li, Min. 2013. Nonlocal Adaptive Image Denoising Model. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032018
Modern Language Association (MLA)
Sun, Xiaoli…[et al.]. Nonlocal Adaptive Image Denoising Model. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032018
American Medical Association (AMA)
Sun, Xiaoli& Xu, Chen& Li, Min. Nonlocal Adaptive Image Denoising Model. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032018