ANALYSIS OF FACTORS REDUCING IMAGE QUALITY IN VIDEO SURVEILLANCE SYSTEMS AND METHODS OF ELIMINATION
Keywords:
video surveillance system, image quality, noise, lighting, compression algorithms, network delays.Abstract
This article analyzes the main factors that reduce image quality in video surveillance systems. Video stream quality is highly dependent on technical and environmental conditions, and its degradation significantly decreases the effectiveness of security monitoring. The study examines the impact of noise, insufficient lighting, weather conditions, low-quality optics and sensors, as well as the adverse effects of compression algorithms and network delays. The results are presented using objective quality metrics (PSNR, SSIM), and the potential of digital image processing and artificial intelligence technologies for improving image quality is highlighted.
References
Gonzalez R. C., Woods R. E. Digital Image Processing. 4th Edition. Pearson, 2018. – 1168 p.
Szeliski R. Computer Vision: Algorithms and Applications. 2nd Edition. Springer, 2022. – 915 p.
Bovik A. C. Handbook of Image and Video Processing. Academic Press, 2021. – 1384 p.
ITU-T Rec. P.910. Subjective video quality assessment methods for multimedia applications. International Telecommunication Union, 2019.
ISO/IEC 23009-1. Dynamic adaptive streaming over HTTP (MPEG-DASH), Part 1: Media presentation description and segment formats. International Standard, 2020.
Goodfellow I., Bengio Y., Courville A. Deep Learning. MIT Press, 2016. – 775 p.
Zhang K., Zuo W., Chen Y., Meng D., Zhang L. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Transactions on Image Processing, 2017, Vol. 26(7), pp. 3142–3155.
Ledig C., Theis L., Huszár F., et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 4681–4690.
Bozorov Abdumannon, Shoyqulov Shodmonkul Qudratovich CONVERT IMAGES TO PDF IN C# // EJMTCS. 2024. №10. URL: https://cyberleninka.ru/article/n/convert-images-to-pdf-in-c (дата обращения: 29.09.2025).
Bozorov Abdumannon and Shoyqulov Shodmonkul Qudratovich, “MULTIMEDIA SURVEILLANCE CAMERAS AND THEIR FEATURES IN USING”, Int. j. innov. eng. res. technol., vol. 9, no. 10, pp. 29–34, Oct. 2022, doi: 10.17605/OSF.IO/4EV75.
