Temporal compressive imaging for video

Qun Zhou; Linxia Zhang; Jun Ke

doi:10.1117/12.2288148

12 January 2018 Temporal compressive imaging for video

Qun Zhou, Linxia Zhang, Jun Ke

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 1062014 (2018) https://doi.org/10.1117/12.2288148
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

In many situations, imagers are required to have higher imaging speed, such as gunpowder blasting analysis and observing high-speed biology phenomena. However, measuring high-speed video is a challenge to camera design, especially, in infrared spectrum. In this paper, we reconstruct a high-frame-rate video from compressive video measurements using temporal compressive imaging (TCI) with a temporal compression ratio T=8. This means that, 8 unique high-speed temporal frames will be obtained from a single compressive frame using a reconstruction algorithm. Equivalently, the video frame rates is increased by 8 times. Two methods, two-step iterative shrinkage/threshold (TwIST) algorithm and the Gaussian mixture model (GMM) method, are used for reconstruction. To reduce reconstruction time and memory usage, each frame of size 256×256 is divided into patches of size 8×8. The influence of different coded mask to reconstruction is discussed. The reconstruction qualities using TwIST and GMM are also compared.

Citation Download Citation

Qun Zhou, Linxia Zhang, and Jun Ke "Temporal compressive imaging for video", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1062014 (12 January 2018); https://doi.org/10.1117/12.2288148

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