Genetic algorithm based on anisotropic diffusion for super-resolution image restoration

Yangguang Sun; Chengping Zhou; Mingyue Ding; Songgen Zhang

doi:10.1117/12.750455

14 November 2007 Genetic algorithm based on anisotropic diffusion for super-resolution image restoration

Yangguang Sun, Chengping Zhou, Mingyue Ding, Songgen Zhang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679028 (2007) https://doi.org/10.1117/12.750455
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Yangguang Sun, Chengping Zhou, Mingyue Ding, and Songgen Zhang "Genetic algorithm based on anisotropic diffusion for super-resolution image restoration", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679028 (14 November 2007); https://doi.org/10.1117/12.750455

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