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Proceedings Paper

P-M diffusion for image denoise with the fidelity term
Author(s): Pingxian Yang; Mingju Chen; Jing Wang
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Paper Abstract

Diffusion has received a lot of attention and has experienced significant developments, it can simultaneously enhance, sharpen and denoise image. The diffusion coefficient is locally adjust according to image features such as edges, textures, and moments, so it has many formats diffusion process according to the set of gradient. Suck as P-M diffusion and total variation. The aim of the present paper is to study the total variation then replace the smoothed intensity function with the P-M diffusion function and derive the fidelity term to get a novel nonlinear anisotropic P-M diffusion. And then deduce the new diffusion application in discrete two dimension space for image denoise. The results of experiments demonstrate the novel P-M diffusion denoise the image and retain the details more effective than traditional P-M diffusion.

Paper Details

Date Published: 9 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092V (9 July 2011); doi: 10.1117/12.896322
Show Author Affiliations
Pingxian Yang, Sichuan Univ. of Science and Engineering (China)
Mingju Chen, Sichuan Univ. of Science and Engineering (China)
Jing Wang, Sichuan Univ. of Science and Engineering (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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