论文标题
通过随机点传播工程的传统滚动摄像头100,000帧每秒压缩成像
100,000 frames-per-second compressive imaging with a conventional rolling-shutter camera by random point-spread-function engineering
论文作者
论文摘要
我们展示了一种方法，该方法允许以每秒超过100,000帧的高速视频（FPS）来拍摄视频，并利用标准滚动式读出机制的快速采样率，大多数传统传感器常见，并且是一种压缩式采样驱动方案。我们的方法通过将扩散器简单地添加到瞳孔平面上直接应用于常规成像系统，从而随机编码整个视野对每个相机行，同时保持衍射量限制的分辨率。简短的视频是通过压缩感应重建算法从单个相机框架重建的，从而利用了成像场景的固有稀疏性。
We demonstrate an approach that allows taking videos at very high-speeds of over 100,000 frames per second (fps) by exploiting the fast sampling rate of the standard rolling-shutter readout mechanism, common to most conventional sensors, and a compressive-sampling acquisition scheme. Our approach is directly applied to a conventional imaging system by the simple addition of a diffuser to the pupil plane, randomly encoding the entire field-of-view to each camera row, while maintaining diffraction-limited resolution. A short video is reconstructed from a single camera frame via a compressed-sensing reconstruction algorithm, exploiting inherent sparsity of the imaged scene.
