English(EN) TriINR: Unsupervised Atmospheric Turbulence Mitigation with Triple Implicit Neural Representations

新的TriINR方法使用隐式神经表示进行湍流缓解

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

研究人员开发了TriINR，一种用于减轻图像中大气湍流的新型无监督方法。该方法利用三个隐式神经表示（INR）分别对清晰图像、倾斜和模糊分量进行建模。通过将倾斜和模糊视为时空INR，TriINR实现了与先前方法不同的帧数无关和内存高效的优化。实验表明，TriINR在恢复各种湍流强度下的图像质量方面优于现有技术，并在真实场景中表现出鲁棒性。 AI

影响该方法可以通过有效去除大气畸变，从而改善需要清晰远程成像的应用（如监控或遥感）的图像质量。

排序理由详细介绍新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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arXiv cs.CV TIER_1 English(EN) · Yuka Ogino, Rikuto Otsuka, Yuho Shoji, Takuya Ogawa, Takahiro Toizumi, Atsushi Ito · 2026-10-19 04:00

TriINR：基于三重隐式神经表示的无监督大气湍流抑制方法

arXiv:2610.23454v1 Announce Type: new Abstract: Atmospheric turbulence degrades image quality in long-range imaging. The degradation is generally modeled with two spatio-temporally varying components, tilt and blur. Recent unsupervised turbulence mitigation methods have demonstra…

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TriINR：基于三重隐式神经表示的无监督大气湍流抑制方法

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