Proceedings of the International Display Workshops Volume 31 (IDW '24)
Dec 4 - Dec 6, 2024Sapporo Convention Center
Proceedings of the International Display Workshops Volume 31 (IDW '24)
Dec 4 - Dec 6, 2024Sapporo Convention Center
[IST5-2L]Low-light Image Enhancement with A.I. Model MIRNet and Bilateral Edge Detectors
*Yi-Tsung Pan1, Kuo-Jui Hu1, I-Chun Chen1, Hsiang-Yu Tsai1, Ching-Chung Huang2, Ya-Ling Pan2(1. National Taiwan University of Science and Technology (Taiwan), 2. National Changhua University of Education (Taiwan))
Keywords:
Low-light Image Enhancement,MIRNet,Bilateral edge detectors,AI models
People who often get low light images in poor light environment. How to restore a high-quality image from a low-light image and recover the missing high-quality image content and edges is the main research. This research using 2 streams to obtain the high-quality images content and edges simultaneously. The MIRNet learns an enriched content of low-light images, and using bilateral edge detectors to obtain the edges of low-light images.