浑浊介质的原位无靶标定

Ori Spier, T. Treibitz, Guy Gilboa
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引用次数: 11

摘要

在浑浊的介质中成像的物体颜色随距离和介质性质而变化,认为颜色是一种不稳定的信息来源。假设3D场景结构已经变得相对容易估计,色彩恢复的主要挑战是在获取时原位校准介质属性。现有的衰减校准方法要么使用彩色图表,要么使用外部硬件,要么使用一个物体的多幅图像。在这里,我们显示校准不需要这些。我们提出了一种仅使用来自系统光源的背散射光图像来估计介质特性(衰减和散射)的方法。这在物体信号有噪声的浑浊介质中是有利的,并且还减轻了在高浑浊中可能困难的对应匹配的需要。我们通过模拟和海上真实实验证明了我们方法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In situ target-less calibration of turbid media
The color of an object imaged in a turbid medium varies with distance and medium properties, deeming color an unstable source of information. Assuming 3D scene structure has become relatively easy to estimate, the main challenge in color recovery is calibrating medium properties in situ, at the time of acquisition. Existing attenuation calibration methods use either color charts, external hardware, or multiple images of an object. Here we show none of these is needed for calibration. We suggest a method for estimating the medium properties (both attenuation and scattering) using only images of backscattered light from the system's light sources. This is advantageous in turbid media where the object signal is noisy, and also alleviates the need for correspondence matching, which can be difficult in high turbidity. We demonstrate the advantages of our method through simulations and in a real-life experiment at sea.
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