Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

arXiv:2405.03349v1 Announce Type: new
Abstract: In the field of low-light image enhancement, both traditional Retinex methods and advanced deep learning techniques such as Retinexformer have shown distinct advantages and limitations. Traditional Retinex methods, designed to mimic the human eye's perception of brightness and color, decompose images into illumination and reflection components but struggle with noise management and detail preservation under low light conditions. Retinexformer enhances illumination estimation through traditional self-attention mechanisms, but faces challenges with insufficient interpretability and suboptimal enhancement …

abstract advanced advantages arxiv color components cs.cv deep learning deep learning techniques human human eye image images light limitations low mamba perception struggle type