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Robust Brightness Measurement and Exposure Control in Real-Time Video Recording

机译:实时视频录制中强大的亮度测量和曝光控制

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摘要

The auto exposure control (AEC) system in a video camera selects the suitable aperture size, gain setting, and exposure time such that the exposure best fits the scene brightness. Although a few approaches to AEC have been proposed, most of them lack smart mechanisms to quickly estimate the right exposure when users suddenly change the scene. The problem becomes more serious when some regions in the captured video frame are overexposed or underexposed. In this paper, we propose a robust AEC approach to real-time video recording. The proposed system consists of a well-designed control flow as well as some heuristic rules to scene brightness measurement and exposure adjustment. To get a more accurate estimation on scene brightness, the system adaptively selects suitable sensor operational modes. The proposed auto exposure also includes mechanisms to detect occasional moving objects and the flicker of the fluorescent light. Experimental results proved that the proposed AEC system has good performance under various conditions, and it helps to improve the recorded video quality.
机译:摄像机中的自动曝光控制(AEC)系统选择合适的光圈大小,增益设置和曝光时间,以使曝光最适合场景亮度。尽管已提出了一些针对AEC的方法,但大多数方法都缺乏智能机制,可以在用户突然改变场景时快速估算正确的曝光。当捕获的视频帧中的某些区域曝光过度或曝光不足时,此问题将变得更加严重。在本文中,我们提出了一种鲁棒的AEC实时视频录制方法。拟议的系统包括精心设计的控制流程以及一些用于场景亮度测量和曝光调整的启发式规则。为了更准确地估计场景亮度,系统会自适应选择合适的传感器操作模式。提议的自动曝光还包括检测偶发运动物体和荧光灯闪烁的机制。实验结果证明,提出的AEC系统在各种条件下均具有良好的性能,有助于提高录制的视频质量。

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