Paper
6 November 2019 The information technology for image filtering and storing obtained under low light conditions
Roman N. Kvyetnyy, Olexander M. Bevz, Volodymir V. Garmash, Mariya V. Baraban, Ilona V. Bogach, Piotr Kisała, Patryk Panas, Aliya Kalizhanova
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111760M (2019) https://doi.org/10.1117/12.2536750
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
This work is devoted to development of information technology for real noise image filtering and storing obtained under low light condition. The information technology is designed to reduce the size of the image (video) archive, through the use of image processing methods. The structure of information technology is proposed. It includes input data, color models, image processing methods (filtering, compression, blocking effect reduction, coding and transmission), algorithms and software. The developed information technology depending on image type, task and result requirements performs image processing with appropriate filtering methods and has the possibility of encoding and transmission obtained images. The information technology allows reducing the size of the video archive in a video surveillance system with MPEG-4 (XVID) and H.264 video codec, while maintaining acceptable quality.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roman N. Kvyetnyy, Olexander M. Bevz, Volodymir V. Garmash, Mariya V. Baraban, Ilona V. Bogach, Piotr Kisała, Patryk Panas, and Aliya Kalizhanova "The information technology for image filtering and storing obtained under low light conditions", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111760M (6 November 2019); https://doi.org/10.1117/12.2536750
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KEYWORDS
Image filtering

Image processing

Information technology

Image compression

Video

Image quality

Video surveillance

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