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Image restoration with a microscanning imaging system

  • Mathematical Models, Computational Methods
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Abstract

Traditional methods of image restoration use only one observed image for processing. In this paper, we propose methods for image restoration using several distorted images obtained with a microscanning imaging system. We assume that the observed images contain an original image degraded either by additive or by multiplicative interferences. Additionally, the images are corrupted with the additive noise of a receiver sensor. Using a set of observed images, image restoration is carried out by solving a system of equations that is derived from optimization of an objective function. Since the proposed restoration methods possess a high computational complexity, a fast algorithm is proposed. Computer simulation results obtained with the proposed methods are analyzed in terms of restoration accuracy, tolerance to the additive input noise, and robustness to sensors’position errors.

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Authors and Affiliations

  1. School of Mathematics, Autonomous University of Yucatan, 97000, Merida, YUC, Mexico

    J. L. López-Martínez

  2. Department of Computer Science, CICESE, Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada B.C., 22860, Mexico

    V. I. Kober

  3. Institute for Information Transmission Problems, Russian Academy of Sciences, Bol’shoi Karetnyi per. 19, str. 1, Moscow, 127994, Russia

    V. I. Kober & V. N. Karnaukhov

Authors
  1. J. L. López-Martínez
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  2. V. I. Kober
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  3. V. N. Karnaukhov
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Corresponding author

Correspondence to V. N. Karnaukhov.

Additional information

Original Russian Text © J.L. López-Martínez, V.I. Kober, V.N. Karnaukhov, 2014, published in Informatsionnye Protsessy, 2014, Vol. 14, No. 1, pp. 87–107.

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López-Martínez, J.L., Kober, V.I. & Karnaukhov, V.N. Image restoration with a microscanning imaging system. J. Commun. Technol. Electron. 59, 1451–1464 (2014). https://doi.org/10.1134/S1064226914120122

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  • DOI: https://doi.org/10.1134/S1064226914120122

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