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Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification — arXiv:2608.10512

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.10512
License (as archived): CC0-1.0
Archived: 2026-10-19T06:30:19.769Z
SHA-256 of the archived text: aef307125a5a538b636d4f45955f00aa58b94f5171361f945f5231b26f9decf5
Stable URL of this page: https://metraipolis.com/documento/dc_a879098c1944

How to cite

Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification — arXiv:2608.10512 — arXiv (en), https://arxiv.org/abs/2608.10512 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_a879098c1944 (Metraipolis archive dc_a879098c1944, sha256 aef307125a5a538b636d4f45955f00aa58b94f5171361f945f5231b26f9decf5)

BibTeX

@misc{dca879098c1944,
  title = {Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification — arXiv:2608.10512},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.10512},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_a879098c1944; sha256 aef307125a5a538b636d4f45955f00aa58b94f5171361f945f5231b26f9decf5},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.10512. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Low-light imaging often introduces color bias caused by the low signal-to-noise ratio and the image formation process. Although recent low-light image enhancement methods have achieved strong brightness recovery, faithful color restoration remains challenging, manifesting as overall color bias together with local under- and over-saturation. To address this issue, we propose CAGE, a cylindrical color correction framework with adaptive color debiasing and gamut-harmonized saturation rectification for color-faithful low-light image enhancement. We first introduce AdaLAB, a cylindrical adaptive LAB color space that provides a decoupled and image-specific basis for uniform color correction. Building on this color space, we further develop AdaCCT, an adaptive cylindrical color transform with forward and inverse transforms for the conversion between RGB and AdaLAB color space, as well as necessary color debiasing and saturation rectification. The forward transform suppresses embedded color bias before backbone enhancement by reorganizing the chromatic distribution through chromatic-plane shifting and scaling, while the inverse transform achieves faithful saturation rectification through out-of-gamut lightness compensation. Extensive experiments on multiple benchmarks show that CAGE achieves more faithful color restoration, specifically reduces color bias and saturation abnormality, and delivers better overall visual quality across different low-light enhancement backbones. The code is available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-12 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2608.10512 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T06:25:27.259Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-08-12?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).