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Updated: Sep 18, 2025

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通过分离辐射转移方程生成合成非同质雾
Marcell Beregi-Kovacs1, Balazs Harangi1, Andras Hajdu1
1Faculty of Informatics, University of Debrecen, 4028 Debrecen, Hungary.
Journal of imaging
|June 25, 2025
概括
本研究介绍了一种基于物理的方法,用于实现现实的雾合成,改善自主导航和AR的图像现实性. 该方法模拟复杂的雾变化,在视觉保真方面表现优于传统方法.
科学领域:
- 计算机视觉 计算机视觉
- 图像合成 图像合成
- 科学计算科学计算
背景情况:
- 现实的雾合成对于自主导航,增强现实和视觉效果等应用至关重要.
- 现有的方法通常假设均的雾和简化的散射,限制物理精度.
- 传统技术包括Koschmieder定律和基于生成对抗网络 (GAN) 的图像翻译.
研究的目的:
- 开发一种以物理为导向的方法,用异构的多散射合成空间不均的雾.
- 为了提高合成雾效应的结构一致性和感知可信性.
- 在具有挑战性的可见性条件下提高图像增强的物理现实性.
主要方法:
- 辐射转移方程 (RTE) 的分离化,以建模复杂的雾现象.
- 纳入空间变化的雾分布.
- 模拟异型多散射效应以增强现实主义.
主要成果:
- 与基于Koschmieder和基于GAN的基线相比,提出的基于RTE的方法显示出更高的性能.
- 与Koschmieder定律相比,实现了比Koschmieder定律低10%的Fréchet发射距离 (FID).
- 与CycleGAN相比,FID降低了42%,并改善了皮尔森相关性.
- 产生结构一致和感知可信的雾效应.
结论:
- 基于RTE的雾合成方法在物理现实主义和视觉真实性方面提供了显著的改进.
- 它可以为需要具有挑战性的可见性条件的应用程序提供更准确的图像增强.
- 张量计算的高内存要求对实时或大规模部署构成挑战.
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