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Proceedings Paper

Genetic algorithm based on anisotropic diffusion for super-resolution image restoration
Author(s): Yangguang Sun; Chengping Zhou; Mingyue Ding; Songgen Zhang
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Paper Abstract

The blind image restoration based on the nonlinear inverse heat diffusion equation and total variation model has been developed in the past decades. In this paper, a novel genetic algorithm by combining genetic algorithm with anisotropic diffusion technique is put forward to implement the super-resolution image restoration. In the procedure of mutation, we proposed a new genetic mutation operator based on anisotropic diffusion to guide the mutation. The solution space with the higher resolution is formed by the introduction of the new genetic mutation operator. The validity and robustness of our method was demonstrated by using aerial images.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679028 (14 November 2007); doi: 10.1117/12.750455
Show Author Affiliations
Yangguang Sun, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Songgen Zhang, Beijing Tsinghua R&D Industry Institute (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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