Pattern Recognition and Image Analysis. Vol. 33, No. 4, Pages 743-755, 2023

P. V. Bezmaternykh^a^,^c^,*, D. P. Nikolaev^b^,^c^,**, and V. L. Arlazarov^a^,^c^,***

^aFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, 119333 Russian Federation

^bInstitute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, 127051 Russian Federation

Correspondence to: * e-mail: bezmpavel@gmail.com
Correspondence to: ** e-mail: dimonstr@iitp.ru
Correspondence to: *** e-mail: vladimir.arlazarov@gmail.com

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.

Keywords: image processing, scientific school, Hough transform, dynamic programming

High-Performance Digital Image Processing