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Restoration of gray images based on a genetic algorithm with Laplacian constraint

โœ Scribed by Yen-Wei Chen; Zensho Nakao; Kouichi Arakaki; Xue Fang; Shinichi Tamura

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
604 KB
Volume
103
Category
Article
ISSN
0165-0114

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โœฆ Synopsis

Genetic algorithms are used for restoration of gray images. The restoration problem is modeled as an optimization problem, whose cost function is minimized based on mechanics of natural selection and natural genetics. Because the complicated a priori constraints can be easily incorporated by the appropriate modification of the cost function, the algorithm is well suited to the solution of ill-posed problem. The possibility has been demonstrated with computer simulations. A parallel implementation on a multi-workstation environment has been implemented. ~

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