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eess.IV2026
Retrieval-Augmented Generation-Based Color Restoration for Low-Light Image Enhancement
Li-Wei Lu, Shaou-Gang Miaou
Recent low-light image enhancement (LLIE) methods have driven brightness and structural fidelity close to that of normally-exposed images, yet their outputs still exhibit systemati…
eess.IV2024
Rethinking Theoretical Illumination for Efficient Low-Light Image Enhancement
Shyang-En Weng, Cheng-Yen Hsiao, Li-Wei Lu +4
Enhancing low-light images remains a critical challenge in computer vision, as does designing lightweight models for edge devices that can handle the computational demands of deep…
eess.IV2024
A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction
Shyang-En Weng, Shaou-Gang Miaou, Ricky Christanto
Human vision relies heavily on available ambient light to perceive objects. Low-light scenes pose two distinct challenges: information loss due to insufficient illumination and und…