ARetinex-Net: Low-light image enhancement with adaptive retinex model and global illumination representation.
An Adaptive Retinex Model (ARM) is proposed that decomposes an input image into structural (reflectance) and illumination components without relying on handcrafted priors or regularization terms and consistently outperforms state-of-the-art LLIE methods in terms of quantitative metrics and visual quality.