3 papers
cs.CV2025
WEC-DG: Multi-Exposure Wavelet Correction Method Guided by Degradation Description
Ming Zhao, Pingping Liu, Tongshun Zhang +1
Multi-exposure correction technology is essential for restoring images affected by insufficient or excessive lighting, enhancing the visual experience by improving brightness, cont…
cs.CV2025
CWNet: Causal Wavelet Network for Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu, Yubing Lu +4
Traditional Low-Light Image Enhancement (LLIE) methods primarily focus on uniform brightness adjustment, often neglecting instance-level semantic information and the inherent chara…
cs.CV2025
ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning
Ming Zhao, Pingping Liu, Tongshun Zhang +1
Low-light image enhancement presents two primary challenges: 1) Significant variations in low-light images across different conditions, and 2) Enhancement levels influenced by subj…