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

机译:使用自适应像素明智编码曝光的时空亮度采样

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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.
机译:由于用于数据传输的带宽有限,大多数传统的数字摄像机在空间分辨率,时间分辨率和动态范围(即,亮度分辨率)之间面临基本的权衡。最近的一些研究表明,使用不均匀的时空采样(例如以像素方式编码的曝光进行采样),可以超越这一权衡取舍,并实现场景捕获的高效率。但是,在这些研究中,采样方案是预先定义的,并且与目标场景内容无关。在本文中,我们提出了一种自适应的时空亮度采样方法,以进一步提高视频捕获的效率。所提出的方法使用从先前捕获的帧中分析的信息来自适应地更新按像素编码的曝光图案。我们构建了一个原型相机,该相机可以在线对图案进行自适应编码,以显示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,与以前的方法相比,自适应时空亮度采样方案可以实现更准确的视频重建结果和更高的动态范围,并且计算量更少。据我们所知,我们的原型是第一个自适应像素编码曝光相机的实现。

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