ICD-GAN

To address the issues of detail loss and color distortion caused by the lack of prior constraints, as well as noise amplification induced by brightening in low-light image enhancement, this paper proposes an unpaired unsupervised low-light image enhancement method based on illumination curve mapping and structure-preserving denoising. In the generation stage, a deep-feature-driven iterative nonlinear illumination curve mapping mechanism is designed to improve detail enhancement capabilities and suppress color distortion.

To guarantee the parameter estimation required for curve mapping, a multi-scale feature extraction module and a noise-robust convolutional attention module are developed to alleviate the limitations of global illumination perception and noise interference during parameter estimation. Furthermore, a half-instance normalization mechanism integrated with zero-initialized dynamic residuals is designed to suppress noise amplification caused by brightening.