arXiv: cs.AI preprintsInternational6 November 2026
Cue-guided dual-path reconstruction with adaptive multi-scale response refinement for low-light image enhancement
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arXiv:2603.16482v2 Announce Type: replace-cross Abstract: Low-light image enhancement (LLIE) supports optical sensing and scene observation when limited photon capture and sensor noise degrade image quality. However, existing methods can introduce colour deviations or blur local details in the enhanced images. To address this challenge, we propose CueDR-Net, a dual-path network that combines brightness adjustment with local content reconstruction through bidirectional cue interaction and adaptive multi-scale refinement. Specifically, a fixed extractor derives luminance variation, colour, and t
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