A lightweight LLIE framework pairs frozen distribution-normalizing preprocessing with a compact depthwise U-Net to deliver competitive perceptual quality using far fewer parameters than prior methods.
You only need 90k parameters to adapt light: A light weight trans- former for image enhancement and exposure correction
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Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net
A lightweight LLIE framework pairs frozen distribution-normalizing preprocessing with a compact depthwise U-Net to deliver competitive perceptual quality using far fewer parameters than prior methods.