English(EN) Neural Block-wise Auto-exposure for Single-Shot High Dynamic Range Imaging

新型神经算法增强单次拍摄HDR成像

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

研究人员开发了一种新颖的神经块自适应曝光算法，旨在改进单次拍摄高动态范围（HDR）成像。该新方法解决了极端光照条件下的亮度顺序反转、块状伪影和细节丢失等问题。该算法将临时图像及其曝光时间映射到16x16块的特定曝光时间，实验表明，与sRGB相比，使用原始图像格式作为临时输入可以获得更准确的曝光时间和更好的细节捕捉。 AI

影响该算法可以改善各种应用在挑战性光照条件下的图像质量。

排序理由详细介绍图像处理新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Zhengguo Li, Chaobing Zheng, Wei Wang · 2026-10-19 04:00

面向单次高动态范围成像的神经块自适应曝光

arXiv:2610.18733v2 Announce Type: replace Abstract: Block-wise varying exposures are effective for cap- turing appearance of a real-world high dynamic range (HDR) scene via a single-shot. However, brightness order reversal (BOR) artifacts, blocking artifacts and loss of details i…

本文如何被排名

报道来源 [1]

面向单次高动态范围成像的神经块自适应曝光

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