Multiple CR Spatiotemporal Compressive Imaging System
Xiaowen Hao, Dingaoyu Zhao, Jun Ke
TL;DR
This paper introduces a new imaging system that achieves high spatial and temporal resolution by compressing data and reconstructing it accurately.
Contribution
A novel spatiotemporal compressive imaging system with a reconstruction network for multiple compression ratios is proposed.
Findings
The method effectively reconstructs high-resolution images for nine different compression ratios.
It achieves a reconstruction accuracy of 28.28 dB at a maximum spatiotemporal CR of 128:1.
Simulation and optical experiments confirm the system's effectiveness.
Abstract
Higher spatial and temporal resolutions are two important performance parameters in an imaging system. However, due to hardware limitations, the two resolutions are usually mutually restricted. To meet this challenge, we propose a spatiotemporal compressive imaging (STCI) system to reconstruct high-spatiotemporal-resolution images from low-resolution measurements. For STCI, we also designed a novel reconstruction network for multiple compression ratio (CR). To verify the effectiveness of our method, we implemented simulation and optical experiments, respectively. The experiment results show that our method can effectively reconstruct high-spatiotemporal-resolution target scenes for nine different CRs. With the maximum spatiotemporal CR of 128:1, our method can achieve a reconstruction accuracy of 28.28 dB.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Photoacoustic and Ultrasonic Imaging · Random lasers and scattering media