AI RESEARCH
InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement
arXiv CS.CV
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ArXi:2605.19982v1 Announce Type: new Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent studies show that deep learning-based Retinex theory can effectively decouple illumination and reflectance. However, existing methods frequently suffer from over-enhancement or color distortion, and often assume uniform noise or ideal lighting.