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Optimal Adaptive Blur Identification of Noisy Images
Yugoslav journal of operations research, Tome 11 (2001) no. 1, p. 105 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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We present a new blur identification procedure based on a hybrid, two—level evolutionary-deterministic scheme which allows dynamic optimization of the size and the pattern of the support of the point spread function. We demonstrate that the proposed techniques can be generalized to the case of multi-band identification. Numerical simulations demonstrate the overall priority of the proposed identification scheme with regard to the conventional techniques.
Keywords: Hybrid optimization, genetic algorithms, image processing 
@article{YJOR_2001_11_1_a7,
     author = {Stanislav S. Makhanov and Edmond J. Vanderperre},
     title = {Optimal {Adaptive} {Blur} {Identification} of {Noisy} {Images}},
     journal = {Yugoslav journal of operations research},
     pages = {105 },
     year = {2001},
     volume = {11},
     number = {1},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2001_11_1_a7/}
}
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Stanislav S. Makhanov; Edmond J. Vanderperre. Optimal Adaptive Blur Identification of Noisy Images. Yugoslav journal of operations research, Tome 11 (2001) no. 1, p. 105 . http://geodesic.mathdoc.fr/item/YJOR_2001_11_1_a7/