Contrast restoration of foggy images through use of an onboard camera

N. Hautière, Didier Aubert
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引用次数: 49

Abstract

Perception sensors (cameras, laser, radar) are being introduced into certain vehicles. These sensors have been designed to operate within a wide range of situations and conditions (weather, luminosity, etc.) with a prescribed set of variation thresholds. Effectively detecting when a given operating threshold has been surpassed constitutes a key parameter in the creation of driving assistance systems that meet required reliability levels. With this context in mind, an atmospheric visibility measurement system may be capable of quantifying the most common operating range of onboard exteroceptive sensors. In particular, foggy images suffer from poor contrast. Furthermore, this decay varies across the scene and is exponential in the depths of scene points. In this paper, we present a physics based method to restore contrast of foggy images without any a priori weather-specific prediction. Our method only uses a simple black-and-white camera mounted onboard a moving vehicle. Furthermore, we are able to estimate the meteorological visibility distance, which characterizes the weather condition.
通过使用机载相机对雾蒙蒙的图像进行对比度恢复
感知传感器(摄像头、激光、雷达)正被引入某些车辆。这些传感器被设计为在广泛的情况和条件下工作(天气,亮度等),具有规定的一组变化阈值。有效检测何时已超过给定的操作阈值是创建满足所需可靠性水平的驾驶辅助系统的关键参数。考虑到这一点,大气能见度测量系统可能能够量化机载外感传感器最常见的工作范围。特别是,雾蒙蒙的图像对比度差。此外,这种衰减在整个场景中是不同的,并且在场景点的深度上是指数的。在本文中,我们提出了一种基于物理的方法来恢复雾天图像的对比度,而不需要任何先验的天气特定预测。我们的方法只使用安装在移动车辆上的简单黑白摄像机。此外,我们可以估计气象能见度距离,这是表征天气状况。
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