The information technology for image filtering and storing obtained under low light conditions

Roman N. Kvyetnyy, Olexander M. Bevza, Volodymyr V. Garmash, Mariia Baraban, Ilona Bogach, Piotr Kisała, Patryk Panas, Aliya Kalizhanova

2019

Full text Open access: Green Metadata (CSL-JSON)
DOI 10.1117/12.2536750
Data confidence 70 medium
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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.