arXiv Computer Vision By Cheng-Yen Hsiao, Jing-Ming Guo

IDM-Net: A Lightweight Illumination-Decoupled Modulation Network for Low-Light Image Enhancement

Read the original on arXiv Computer Vision →

IDM-Net is a lightweight Illumination-Decoupled Modulation Network designed for low-light image enhancement. It uses a dual-encoder architecture: a structure encoder extracts multi-scale appearance features from the RGB image, while a lightweight illumination encoder learns illumination priors from the decoupled luminance channel. An Illumination-Guided Modulation module injects these priors into the decoder via spatially adaptive affine modulation, and a Feature Refinement Block progressively suppresses artifacts and recovers fine details, achieving competitive performance on standard benchmarks with good balance between quality and efficiency.

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