Work

Real-Time Enhancement of Low-Quality Video for Constrained Camera Systems

Year: 2024
Type: conference-paper
Abstract: Deploying high-spec cameras in video systems often falls short of user expectations. Leveraging advancements in deep learning, we propose a mobile, lightweight, real-time video enhancement system. Our approach adopts cutting-edge models and introduces novel optimization techniques for real-time streaming, improving low-resolution, grayscale, and low frame-rate videos. Preliminary evaluations show significant improvements in PSNR and SSIM, while visual assessments confirm substantial quality enhancements while maintaining real-time processing requirements.
Institution: Hanyang University
Language: English
Open Access status: hybrid
OpenAlex ID: W4405014327
FWCI:
Cites: 3
Cited by:
Related to: 10