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High-Performance Digital Image Processing

  • SCIENTIFIC SCHOOLS OF THE FEDERAL RESEARCH CENTER “COMPUTER SCIENCE AND CONTROL” OF THE RUSSIAN ACADEMY OF SCIENCES, MOSCOW, THE RUSSIAN FEDERATION
  • V.L. Arlazarov’s Scientific School
  • Published:
Pattern Recognition and Image Analysis Aims and scope Submit manuscript

Abstract

The work briefly describes the activities of the Moscow Scientific School of Digital Image Processing, formed on the basis of a team led by Professor V.L. Arlazarov. This school is focused on the development of high-performance image processing methods with the active use of combinatorial optimization methods, as well as the principles of minimizing the required amount of calculations. Examples of fundamental results in various areas of image processing are given, and specific application solutions developed on their basis are demonstrated. Some significant publications and achievements of the scientific school are listed and interpreted.

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333, Moscow, Russian Federation

    P. V. Bezmaternykh & V. L. Arlazarov

  2. Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051, Moscow, Russian Federation

    D. P. Nikolaev

  3. Smart Engines Service LLC, 121205, Moscow, Russian Federation

    P. V. Bezmaternykh, D. P. Nikolaev & V. L. Arlazarov

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Pavel Vladimirovich Bezmaternykh (born 1987), received a specialist degree in applied mathematics from the Moscow Institute of Steel and Alloys in 2009. Since 2016 he has been employed at Smart Engines Service LLC, Moscow, Russia, and since 2019 he has been employed at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia. His primary fields of study are image processing, document recognition, and text layout analysis.

Dmitrii Petrovich Nikolaev (born 1978), Dr. Sci., graduated from Moscow State University in 2000. Since 2007, he has been the Head of the Vision Systems Laboratory, Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences and, since 2016, he has been the CTO of Smart Engines Service LLC. Since 2016, he has been an Associate Professor with the Moscow Institute of Physics and Technology (MIPT), teaching the Image Processing and Analysis Course. His research activities are in the area of computer vision with primary application to color image understanding.

Vladimir L’vovich Arlazarov (born 1939), Dr. Sci., Corresponding Member of the Russian Academy of Sciences, graduated from Moscow State University in 1961. Currently he works as head of sector at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS). His research interests are game theory and pattern recognition.

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Bezmaternykh, P.V., Nikolaev, D.P. & Arlazarov, V.L. High-Performance Digital Image Processing. Pattern Recognit. Image Anal. 33, 743–755 (2023). https://doi.org/10.1134/S1054661823040090

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