Zhu Liren, Chen Yujia, Liang Jinyang, Xu Qiaofeng, Gao Liang, Ma Cheng, Wang Lihong V
Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Optica. 2016 Jul;3(7):694-697. doi: 10.1364/OPTICA.3.000694. Epub 2016 Jun 30.
The single-shot compressed ultrafast photography (CUP) camera is the fastest receive-only camera in the world. In this Letter, we introduce an external CCD camera and a space- and intensity-constrained (SIC) reconstruction algorithm to improve the image quality of CUP. The external CCD camera takes a time-unsheared image of the dynamic scene. Unlike the previously used unconstrained algorithm, the proposed algorithm incorporates both spatial and intensity constraints based on the additional prior information provided by the external CCD camera. First, a spatial mask is extracted from the time-unsheared image to define the zone of action. Next, an intensity threshold is determined based on the similarity between the temporally projected image of the reconstructed datacube and the time-unsheared image. Both simulation and experimental studies show that the SIC reconstruction improves the spatial resolution, contrast, and general quality of the reconstructed image.
单次压缩超快摄影(CUP)相机是世界上最快的仅接收式相机。在本信函中,我们引入了一台外部电荷耦合器件(CCD)相机和一种空间与强度约束(SIC)重建算法,以提高CUP的图像质量。外部CCD相机拍摄动态场景的时间未剪切图像。与先前使用的无约束算法不同,所提出的算法基于外部CCD相机提供的额外先验信息,纳入了空间和强度约束。首先,从时间未剪切图像中提取空间掩码以定义作用区域。接下来,根据重建数据立方体的时间投影图像与时间未剪切图像之间的相似度确定强度阈值。模拟和实验研究均表明,SIC重建提高了重建图像的空间分辨率、对比度和总体质量。