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Blind Deconvolution Based on Genetic Algorithms
Yen-Wei CHEN Zensho NAKAO Kouichi ARAKAKI Shinichi TAMURA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1997/12/25
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Neural Networks
blind deconvolution, genetic algorithm, image restoration, blurring function,
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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.