Guo Qiang, Chen Hongwei, Weng Zhiliang, Chen Minghua, Yang Sigang, Xie Shizhong
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China.
Biomed Opt Express. 2015 Aug 27;6(9):3610-7. doi: 10.1364/BOE.6.003610. eCollection 2015 Sep 1.
A fast time-lens-based line-scan single-pixel camera with multi-wavelength source is proposed and experimentally demonstrated in this paper. A multi-wavelength laser instead of a mode-locked laser is used as the optical source. With a diffraction grating and dispersion compensating fibers, the spatial information of an object is converted into temporal waveforms which are then randomly encoded, temporally compressed and captured by a single-pixel photodetector. Two algorithms (the dictionary learning algorithm and the discrete cosine transform-based algorithm) for image reconstruction are employed, respectively. Results show that the dictionary learning algorithm has greater capability to reduce the number of compressive measurements than the DCT-based algorithm. The effective imaging frame rate increases from 200 kHz to 1 MHz, which shows a significant improvement in imaging speed over conventional single-pixel cameras.
本文提出并通过实验证明了一种基于快速时间透镜的多波长源线扫描单像素相机。使用多波长激光器而非锁模激光器作为光源。通过衍射光栅和色散补偿光纤，物体的空间信息被转换为时间波形，然后进行随机编码、时间压缩并由单像素光电探测器捕获。分别采用了两种图像重建算法（字典学习算法和基于离散余弦变换的算法）。结果表明，与基于离散余弦变换的算法相比，字典学习算法在减少压缩测量次数方面具有更强的能力。有效成像帧率从200 kHz提高到1 MHz，与传统单像素相机相比，成像速度有了显著提高。
