8 October 1996 Nonlinear locally adaptive and iterative algorithms of image restoration
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Abstract
An adaptive approach to restoration of images corrupted by blurring, additive, impulsive and multiplicative noise is proposed. It is based on the combination of nonlinear filters, iterative filtering procedures, and the principles of local adaptation. Finally, numerical simulations and test images illustrating the efficiency of the approach are presented.
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Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, Jaakko T. Astola, "Nonlinear locally adaptive and iterative algorithms of image restoration", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253451; https://doi.org/10.1117/12.253451
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