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Design of a Block-Software System for a Posteriori Analysis and Restoration of Multispectral Images

  • MATHEMATICAL MODELS AND COMPUTATIONAL METHODS
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Abstract—A prototype of the block-software system that is able to solve the main problems of image restoration and additional problems related to analysis/diagnostics of images and generation of databases of synthesized test images is proposed. The system can be used in the regime of emulation of the process of image transformation including blurring, analysis, and restoration (which allows tuning and training of the system for a specific device) and in the regime of analysis and restoration of blurred images. A method for estimation of the blurring operator using the observed blurred image is proposed. A learning algorithm for recognition of typical linear distortion operators is used to determine the type of blurring operator.

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FUNDING

This work was supported by the Russian Science Foundation (project no. 14-50-00150).

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Authors and Affiliations

  1. Institute for Information Transmission Problems, Russain Academy of Sciences, 127051, Moscow, Russia

    V. N. Karnaukhov, V. I. Kober, M. G. Mozerov & P. A. Chochia

Authors
  1. V. N. Karnaukhov
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  2. V. I. Kober
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  3. M. G. Mozerov
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  4. P. A. Chochia
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Corresponding author

Correspondence to V. N. Karnaukhov.

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Translated by A. Chikishev

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Karnaukhov, V.N., Kober, V.I., Mozerov, M.G. et al. Design of a Block-Software System for a Posteriori Analysis and Restoration of Multispectral Images. J. Commun. Technol. Electron. 64, 827–833 (2019). https://doi.org/10.1134/S1064226919080229

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  • DOI: https://doi.org/10.1134/S1064226919080229

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