High-resolution images are widely used in our everyday life; however, high-speed video capture is more challenging due to the low frame rate of cameras working at the high-resolution mode. The main bottleneck lies in the low throughput of existing imaging systems. Toward this end, snapshot compressive imaging (SCI) was proposed as a promising solution to improve the throughput of imaging systems by compressive sampling and computational reconstruction. During acquisition, multiple high-speed images are encoded and collapsed to a single measurement. Then, algorithms are employed to retrieve the video frames from the coded snapshot. Recently developed plug-and-play algorithms made the SCI reconstruction possible in large-scale problems. However, the lack of high-resolution encoding systems still precludes SCI’s wide application. Thus, in this paper, we build, to the best of our knowledge, a novel hybrid coded aperture snapshot compressive imaging (HCA-SCI) system by incorporating a dynamic liquid crystal on silicon and a high-resolution lithography mask. We further implement a PnP reconstruction algorithm with cascaded denoisers for high-quality reconstruction. Based on the proposed HCA-SCI system and algorithm, we obtain a 10-mega-pixel SCI system to capture high-speed scenes, leading to a high throughput of 4.6 × 10⁹ voxels per second. Both simulation and real-data experiments verify the feasibility and performance of our proposed HCA-SCI scheme.

中文翻译：

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具有混合编码孔径的 10 兆像素快照压缩成像

高分辨率图像在我们的日常生活中被广泛使用；然而，由于在高分辨率模式下工作的相机帧率较低，高速视频捕获更具挑战性。主要瓶颈在于现有成像系统的低吞吐量。为此，快照压缩成像（SCI）被提出作为一种有前途的解决方案，通过压缩采样和计算重建来提高成像系统的吞吐量。在采集过程中，多个高速图像被编码并折叠成一个测量值。然后，采用算法从编码快照中检索视频帧。最近开发的即插即用算法使 SCI 重建在大规模问题中成为可能。然而，高分辨率编码系统的缺乏仍然阻碍了SCI的广泛应用。因此，在本文中，据我们所知，我们通过在硅上结合动态液晶和高分辨率光刻掩模，构建了一种新型的混合编码孔径快照压缩成像 (HCA-SCI) 系统。我们进一步实现了带有级联降噪器的 PnP 重建算法，以实现高质量的重建。基于提出的 HCA-SCI 系统和算法，我们获得了一个 10 兆像素的 SCI 系统来捕获高速场景，从而实现 4.6 × 10 的高吞吐量每秒⁹个体素。模拟和真实数据实验都验证了我们提出的 HCA-SCI 方案的可行性和性能。