Space-Time-Brightness Sampling Using an Adaptive Pixel-Wise Coded Exposure

H. Nagahara, Toshiki Sonoda, Dengyu Liu, Jinwei Gu
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引用次数: 1

Abstract

Most conventional digital video cameras face a fundamental trade-off between spatial resolution, temporal resolution and dynamic range (i.e., brightness resolution) because of a limited bandwidth for data transmission. A few recent studies have shown that with non-uniform space-time sampling, such as that implemented with pixel-wise coded exposure, one can go beyond this trade-off and achieve high efficiency for scene capture. However, in these studies, the sampling schemes were pre-defined and independent of the target scene content. In this paper, we propose an adaptive space-time-brightness sampling method to further improve the efficiency of video capture. The proposed method adaptively updates a pixel-wise coded exposure pattern using the information analyzed from previously captured frames. We built a prototype camera that enables adaptive coding of patterns online to show the feasibility of the proposed adaptive coded exposure method. Simulation and experimental results show that the adaptive space-time-brightness sampling scheme achieves more accurate video reconstruction results and high dynamic range with less computational cost, than previous method. To the best of our knowledge, our prototype is the first implementation of an adaptive pixel-wise coded exposure camera.
使用自适应像素编码曝光的时空亮度采样
由于数据传输带宽有限,大多数传统数字摄像机面临着空间分辨率、时间分辨率和动态范围(即亮度分辨率)之间的基本权衡。最近的一些研究表明,使用非均匀时空采样,例如使用逐像素编码曝光实现的采样,可以超越这种权衡并实现高效的场景捕获。然而,在这些研究中,采样方案是预先定义的,与目标场景内容无关。为了进一步提高视频采集的效率,本文提出了一种自适应时空-亮度采样方法。所提出的方法利用先前捕获的帧分析的信息自适应地更新逐像素编码的曝光模式。我们建立了一个原型相机,可以在线对模式进行自适应编码,以证明所提出的自适应编码曝光方法的可行性。仿真和实验结果表明,自适应时空-亮度采样方案比以往的方法获得了更精确的视频重建结果和更大的动态范围,且计算成本更低。据我们所知,我们的原型是第一个实现自适应像素编码曝光相机。
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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