Alemohammad Milad, Stroud Jasper R, Bosworth Bryan T, Foster Mark A
Opt Express. 2017 May 1;25(9):9802-9811. doi: 10.1364/OE.25.009802.
We present a high-speed single pixel flow imager based on an all-optical Haar wavelet transform of moving objects. Spectrally-encoded wavelet measurement patterns are produced by chirp processing of broad-bandwidth mode-locked laser pulses. A complete wavelet pattern set serially illuminates the object via a spectral disperser. This high-rate structured illumination transforms the scene into a set of sparse coefficients. We show that complex scenes can be compressed to less than 30% of their Nyquist rate by thresholding and storing the most significant wavelet coefficients. Moreover by employing temporal multiplexing of the patterns we are able to achieve pixel rates in excess of 360 MPixels/s.
我们展示了一种基于运动物体全光Haar小波变换的高速单像素流动成像仪。通过对宽带锁模激光脉冲进行啁啾处理来产生光谱编码的小波测量模式。一组完整的小波模式通过光谱色散器依次照亮物体。这种高速结构光照将场景转换为一组稀疏系数。我们表明，通过对最重要的小波系数进行阈值处理和存储，复杂场景可以被压缩到其奈奎斯特速率的30%以下。此外，通过采用模式的时间复用，我们能够实现超过360兆像素/秒的像素速率。
