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Proceedings Paper

Image super-resolution processing approach based on genetic algorithm
Author(s): Hongjiu Tao; Keming Jia; Xiaojun Tong
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Paper Abstract

The paper presents the approach of image super-resolution reconstruction based on genetic algorithm. We use genetic algorithm as an optimizing tool, considering the image set as initial population, and thus establish an algorithm based on genetic algorithm aiming at image super-resolution reconstruction. Simulating experiments have been carried out, which proves that the algorithm we put forward can enhance the resolution and quality of the image and the result is satisfactory.

Paper Details

Date Published: 20 January 2005
PDF: 6 pages
Proc. SPIE 5633, Advanced Materials and Devices for Sensing and Imaging II, (20 January 2005); doi: 10.1117/12.573938
Show Author Affiliations
Hongjiu Tao, Wuhan Polytechnic Univ. (China)
Wuhan Univ. of Technology (China)
Keming Jia, Wuhan Polytechnic Univ. (China)
Wuhan Univ. of Technology (China)
Xiaojun Tong, Wuhan Polytechnic Univ. (China)
Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5633:
Advanced Materials and Devices for Sensing and Imaging II
Anbo Wang; Yimo Zhang; Yukihiro Ishii, Editor(s)

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