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Proceedings Paper

Blind deconvolution by genetic algorithms
Author(s): Yen-Wei Chen; Zensho Nakao; Shinichi Tamura
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Paper Abstract

A genetic algorithm is presented for the blind-deconvolution problem of image restoration. The restoration problem is modeled as an optimization problem, whose cost function is minimized based on mechanics of natural selection and natural genetics. The applicability of GA for blind-deconvolution problem was demonstrated.

Paper Details

Date Published: 25 March 1996
PDF: 5 pages
Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); doi: 10.1117/12.235831
Show Author Affiliations
Yen-Wei Chen, Univ. of Ryukyus (Japan)
Zensho Nakao, Univ. of Ryukyus (Japan)
Shinichi Tamura, Osaka Univ. (Japan)

Published in SPIE Proceedings Vol. 2662:
Nonlinear Image Processing VII
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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