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English(EN) BC-IHV: Conditioning the Color Space for Stable Rectified-Flow Low-Light Enhancement

新的BC-IHV色彩空间增强低光图像质量

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种新颖的Box-Cox极坐标色彩空间BC-IHV，旨在改善低光图像增强（LLIE）。与传统的线性或对数方法相比，这种新的表示方式能够更均衡地扩展暗部范围和条件化梯度。所提出的结合了BC-IHV的结构锚定整流流（SA-RF）框架，在实验中展示了优于最先进方法的稳定重建和感知优势。 AI

影响 引入了一种新颖的色彩空间和框架，可能提高AI应用中的图像处理能力。

排序理由 详细介绍新方法和图像增强色彩空间的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的BC-IHV色彩空间增强低光图像质量

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详细介绍新方法和图像增强色彩空间的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yi Ai, Zheng Chen, Yuanhao Cai, Yulun Zhang, Xiaokang Yang ·

    BC-IHV：为稳定整流流低光增强条件化色彩空间

    arXiv:2608.21847v1 Announce Type: new Abstract: Low-light image enhancement (LLIE) must correct ambiguous exposure without overwriting structure already supported by the input. Generative transport can model exposure ambiguity; however, its flexibility may also alter observable g…

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