Article
Version 1
This version is not peer-reviewed
Parallel Computing for Real-Time Image Processing
Version 1
: Received: 31 July 2024 / Approved: 1 August 2024 / Online: 1 August 2024 (14:09:38 CEST)
How to cite: Gallegos Lizárraga, R. A. Parallel Computing for Real-Time Image Processing. Preprints 2024, 2024080040. https://doi.org/10.20944/preprints202408.0040.v1 Gallegos Lizárraga, R. A. Parallel Computing for Real-Time Image Processing. Preprints 2024, 2024080040. https://doi.org/10.20944/preprints202408.0040.v1
Abstract
Real-time image processing is crucial in applications such as video surveillance, diagnostic medicine, and autonomous vehicle systems. Parallel computing is essential to address the demands of real-time processing, but challenges persist in its practical implementation. This review analyzes parallel computing techniques applied to real-time image processing, examining parallel architectures and algorithms, identifying effective applications, and evaluating challenges and limitations. The results of this study will contribute to the development of more efficient solutions for real-time image processing. Keywords: Parallel computing, real-time image processing, video surveillance, diagnostic medicine, autonomous vehicle systems.
Keywords
parallel computing; real-time image processing; video surveillance; diagnostic medicine; autonomous vehicle systems; GPU computing; image analysis
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
