Parallel computations in problems of reconstruction of distorted images in spatial-spectral form

Parallel computations in problems of reconstruction of distorted images in spatial-spectral form

Boris Vasilyevich KOSTROV, Natalya Nikolaevna GRINCHENKO, Angelina Alekseevna VYUGINA, Svetlana Nikolaevna BARANOVA

Abstract

The object of the study is the image processing process in preparation for data transmission, as well as subsequent recovery. The subject of the study is the application of parallel computing in image processing tasks. The purpose of the article is to study the method of image reconstruction with correction of distortion of the transmission vector based on the input of a value in the trend of its neighbors. The relevance of this topic is determined by the need to effectively perform the operations preceding and following the transmission over the communication channel. During the experimental part, the results were obtained in the form of execution time values with sequential execution and using parallel calculations, which gave the expected increase in speed-up. Since the image consists of unrelated parts, it can be successfully processed by applying data parallelization.

Keywords

image processing, bit plane, parallel computing, complex error, recovery, data transfer, MATLAB

Edition

Proceedings of the Institute for System Programming, vol. 35, issue 2, 2023, 157-168

ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).

DOI: 10.15514/ISPRAS-2023-35(2)-11

For citation

Boris Vasilyevich KOSTROV, Natalya Nikolaevna GRINCHENKO, Angelina Alekseevna VYUGINA, Svetlana Nikolaevna BARANOVA Parallel computations in problems of reconstruction of distorted images in spatial-spectral form. Proceedings of the Institute for System Programming, vol. 35, issue 2, 2023, 157-168 DOI: 10.15514/ISPRAS-2023-35(2)-11.

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