Nonlinear locally adaptive and iterative algorithms of image restoration

Vladimir P. Melnik; Vladimir V. Lukin; Alexander A. Zelensky; Heikki Huttunen; Jaakko T. Astola

doi:10.1117/12.253451

8 October 1996 Nonlinear locally adaptive and iterative algorithms of image restoration

Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, Jaakko T. Astola

Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253451
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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, and 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); https://doi.org/10.1117/12.253451

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KEYWORDS

Digital filtering

Image restoration

Image filtering

Nonlinear filtering

Electronic filtering

Filtering (signal processing)

Image processing

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