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Proceedings Paper

A well-balanced reaction-diffusion model for texture image denoising
Author(s): Jia-Qiang Gong; Xiao-Ning Li
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Paper Abstract

Important information, such as textures or edge, is often lost or blurred in the process of traditional denoising. In this paper we present a well balanced reaction-diffusion equation combined new harmonic analysis to resolve this problem better. A mixed diffusivity term is used to control the diffusion process to smooth and maintain essential image characteristics. While in reaction terms we employ wave atoms and curvelets shrinkage to preserve and enhance textures and edges. Experiment results and comparisons show the good performance of the proposed model for texture and edge preserving in the process of denoising especially as the noise increase.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 878316 (13 March 2013); doi: 10.1117/12.2014024
Show Author Affiliations
Jia-Qiang Gong, Sichuan Normal Univ. (China)
Xiao-Ning Li, Sichuan Normal Univ. (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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