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Kernel Based Telegraph-Diffusion Equation for Image Noise Removal
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The second-order partial differential equations have good performances on noise smoothing and edge preservation.
However, for low signal-to-noise ratio (SNR) images, the discrimination between edges and noise is a challenging problem.
In this paper, the authors propose a kernel based telegraph-diffusion equation (KTDE) for noise removal.
In this method, a kernelized gradient operator is introduced in the second-order telegraph-diffusion equation (TDE), which leads to more effective noise removal capability.
Experiment results show that this method outperforms several anisotropic diffusion methods and the TDE method for noise removal and edge preservation.
American Psychological Association (APA)
Yang, Yu-Qian& Zhang, Cheng-Yi. 2014. Kernel Based Telegraph-Diffusion Equation for Image Noise Removal. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-460220
Modern Language Association (MLA)
Yang, Yu-Qian& Zhang, Cheng-Yi. Kernel Based Telegraph-Diffusion Equation for Image Noise Removal. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-460220
American Medical Association (AMA)
Yang, Yu-Qian& Zhang, Cheng-Yi. Kernel Based Telegraph-Diffusion Equation for Image Noise Removal. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-460220
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460220