Paper
25 March 1996 Blind deconvolution by genetic algorithms
Yen-Wei Chen, Zensho Nakao, Shinichi Tamura
Author Affiliations +
Proceedings Volume 2662, Nonlinear Image Processing VII; (1996) https://doi.org/10.1117/12.235831
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yen-Wei Chen, Zensho Nakao, and Shinichi Tamura "Blind deconvolution by genetic algorithms", Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); https://doi.org/10.1117/12.235831
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Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Genetic algorithms

Deconvolution

Genetics

Image processing

Image sensors

Mechanics

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