Year: 2025
Type: article
Abstract: Today, image processing occupies an important place in various scientific and technological fields. The increase in data volume and the need for rapid information processing are pushing for improved processing methods. In this context, the use of parallel algorithms is becoming one of the main ways to increase the efficiency of image processing. This work is devoted to the study of image processing methods that are carried out in parallel. In the course of the work, the basic principles of image processing are considered. In addition, these methods allow you to increase the speed of tasks and use computing resources economically. The basics of parallel processing and its advantages are described in detail. Special attention is paid to parallel computing working with different architectures. Algorithms involving several technologies are especially shown as an example. With a parallel approach, you can apply multiple filters to different parts of the image at the same time. This method improves the overall performance of the system and reduces the time spent on processing. At the same time, the efficient use of devices such as multi-core processors and graphics processors ensures high-quality image processing. Each filter used has its own characteristics and is aimed at specific purposes. Thanks to parallel methods, it becomes possible to quickly and efficiently apply these filters. It plays a big role in real-time video editing. Parallel algorithms with high efficiency significantly improve the result of image processing.
Authors: А.Т. Bayaly, N.M. Zhunissov, T.S. Nazarbek, V.M. Davletova
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7092797659