Multi-exposure image acquisition for automotive high dynamic range imaging

S. Görmer, S. Hold, A. Kummert, U. Iurgel, M. Meuter
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引用次数: 2

Abstract

Image acquisition is the elementary step on the way to a performing vision-based Driver Assistance System (DAS). Any visual information lost in the capturing process is irretrievably gone. Many application approaches do not consider any influence on the camera, but take the image data as is from the capturing device. This paper starts with an overview of the most relevant solutions of high dynamic range (HDR) imaging and introduces a novel and real-time capable approach of using multiple low dynamic range (LDR) images from an automotive camera. Especially the automatic exposure and gain control for the different exposed images is in the focus. In the next step the HDR histogram linearization and image fusion to a final 8-bit HDR-image is shown. The exposure control algorithm is proven to be fast and stable. The resulting image shows both dark and bright details accurately.
用于汽车高动态范围成像的多曝光图像采集
图像采集是实现基于视觉的驾驶辅助系统(DAS)的基本步骤。在捕捉过程中丢失的任何视觉信息都将不可挽回地消失。许多应用方法不考虑对相机的任何影响,而是从捕获设备获取图像数据。本文首先概述了高动态范围(HDR)成像的最相关解决方案,并介绍了一种使用来自汽车摄像头的多个低动态范围(LDR)图像的新颖且实时的方法。特别是对不同曝光图像的自动曝光和增益控制是重点。下一步,对HDR直方图进行线性化和图像融合,得到最终的8位HDR图像。实验证明,该曝光控制算法快速、稳定。由此产生的图像准确地显示了黑暗和明亮的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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