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Ruiyuan Chen

2 accepted papers

2025

Collaborative Dual-Branch Spatial-Frequency Enhancement Network for Low-Light Images

Tao He, Tiecheng Song, Yin Liu, Feng Yang, Ruiyuan Chen, Zhixin Li
ICASSP 2025accepted

Low-light images are commonly present due to imaging factors such as insufficient light, night shooting and back lit. Existing low-light image enhancement (LLIE) methods typically rely on a low-light input image for enhancement, which seldom leverage information contained in its high-light counterpa…

Cited by 0Source ↗Scholar ↗
2025

PDCE: Patch-wise Dynamic Curve Estimation for Low-Light Image Enhancement

Ruiyuan Chen, Zhixin Li, Han Zeng, Yifan Liu, Tao He, Tiecheng Song
ICASSP 2025accepted

Low-light image enhancement (LLIE) can be reformulated as an image-specific curve estimation (CE) problem. Traditional CE-based methods struggle with issues such as uniform processing across different regions, static parameter estimation, and lack of effective global semantic enhancement. To address…

Cited by 0Source ↗Scholar ↗