Blind Deconvolution Based on Genetic Algorithms

Yen-Wei CHEN  Zensho NAKAO  Kouichi ARAKAKI  Shinichi TAMURA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E80-A   No.12   pp.2603-2607
Publication Date: 1997/12/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Neural Networks
Keyword: 
blind deconvolution,  genetic algorithm,  image restoration,  blurring function,  

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Summary: 
A genetic algorithm is presented for the blind-deconvolution problem of image restoration without any a priori information about object image or blurring function. The restoration problem is modeled as an optimization problem, whose cost function is to be minimized based on mechanics of natural selection and natural genetics. The applicability of GA for blind-deconvolution problem was demonstrated.