Paper
20 February 2024 Methods of increasing the contrast of images in video information systems
Author Affiliations +
Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650L (2024) https://doi.org/10.1117/12.3025016
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan
Abstract
In the article describe the methods of increasing the contrast of images in video information systems, the main compression of the video stream is provided by eliminating inter-frame redundancy using motion compensation methods for image fragments of adjacent frames. However, the use of motion compensation methods requires the formation of additional data (metadata) containing information about the types of image blocks used, the coordinates of their movement, etc. At the same time, in order to increase the compression of the video stream without compromising its quality, a higher accuracy of motion compensation is required, which leads to an increase in the number of blocks and, accordingly, to an increase in the volume of metadata that reduces the effectiveness of motion compensation. This is the main problem of compressing streaming video without degrading the quality of images. In addition, the higher accuracy of positioning blocks with motion compensation dramatically reduces the speed of image processing, which is not always feasible in real-time systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
S. S. Beknazarova, S. X. Abdullayev, O. S. Abdullayeva, and Z. S. Abdullayev "Methods of increasing the contrast of images in video information systems", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650L (20 February 2024); https://doi.org/10.1117/12.3025016
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KEYWORDS
Image processing

Image filtering

Tunable filters

Video

Matrices

Video compression

Digital filtering

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