[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
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Updated
Apr 25, 2026 - Python
[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
Aether enhances low-light images from the PSR regions of lunar craters to improve signal-to-noise ratio (SNR). By applying advanced deep learning and image processing techniques, the project creates high-resolution image maps from Chandrayaan-2's OHRC, aiding lunar landing site selection and supporting geomorphological studies of the lunar pole
REGULATED SINGLE SCALE RETINEX ALGORITHM for nighttime image enhancement
Retinex in Matlab
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