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English(EN) Computational imaging through turbid, bubbly and flowing water near the telescope

新的成像技术增强了穿透湍流水的能力

研究人员开发了计算成像技术,以提高在浑浊、起泡和流动水等具有挑战性的水下条件下的可见度。他们通过拍摄望远镜穿过水层观察显示图像和物理对象来创建数据集,测试了流动、气泡和浑浊度的各种组合。研究发现,虽然浑浊度会显著降低对比度,但平均帧可以提高图像质量,而学习到的融合几乎没有带来额外的好处。值得注意的是,原始帧足以实现高精度识别,并且在测量数据和合成数据上训练的网络在无需重新训练的情况下改进了水下照片。 AI

排序理由 关于新型成像技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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新的成像技术增强了穿透湍流水的能力

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关于新型成像技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Alexander Ingold, Sabina D. Menon, Aadhi Umamageswaran, Alec Ikei, May H. Hlaing, Syed N. Qadri, Rajesh Menon ·

    望远镜附近浑浊、起泡和流动水中的计算成像

    arXiv:2610.32646v1 Announce Type: cross Abstract: Cameras in the surf zone or behind ship wakes look through turbid, bubbly, moving water close to the lens, yet restoration networks are usually scored only on displayed images. We introduce a measured dataset of a telescope viewin…