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Flexible electronic control system based on FPGA for liquid-crystal microlens
Author(s): Bo Zhang; Zhaowei Xin; Dapeng Li; Dong Wei; Xinyu Zhang; Haiwei Wang; Changsheng Xie
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Paper Abstract

Traditional imaging based on common optical lens can only be used to collect intensity information of incident beams, but actually lightwave also carries other mode information about targets and environment, including: spectrum, wavefront, and depth of target, and so on. It is very important to acquire those information mentioned for efficiently detecting and identifying targets in complex background. There is a urgent need to develop new high-performance optical imaging components. The liquid-crystal microlens (LCMs) only by applying spatial electrical field to change optical performance, have demonstrated remarkable advantages comparing conventional lenses, and therefore show a widely application prospect. Because the physical properties of the spatial electric fields between electrode plates in LCMs are directly related to the light-field performances of LCMs, the quality of voltage signal applied to LCMs needs high requirements. In this paper, we design and achieve a new type of digital voltage equipment with a wide adjustable voltage range and high precise voltage to effectively drive and adjust LCMs. More importantly, the device primarily based on field-programmable gate array(FPGA) can generate flexible and stable voltage signals to cooperate with the various functions of LCMs. Our experiments show that through the electronic control system, the LCMs already realize several significant functions including: electrically swing focus, wavefront imaging, electrically tunable spectral imaging and light-field imaging.

Paper Details

Date Published: 19 February 2018
PDF: 5 pages
Proc. SPIE 10607, MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis, 106070F (19 February 2018); doi: 10.1117/12.2286887
Show Author Affiliations
Bo Zhang, Huazhong Univ. of Science and Technology (China)
Zhaowei Xin, Huazhong Univ. of Science and Technology (China)
Dapeng Li, Shanghai Aerospace Control Technology Institute (China)
Dong Wei, Huazhong Univ. of Science and Technology (China)
Xinyu Zhang, Huazhong Univ. of Science and Technology (China)
Haiwei Wang, Huazhong Univ. of Science and Technology (China)
Changsheng Xie, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10607:
MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jun Zhang; Hongshi Sang, Editor(s)

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