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Department光电工程总体研究室(一室)
Computational-weighted Fourier single-pixel imaging via binary illumination
Huang, Jian1,2; Shi, Dongfeng1,3; Yuan, Kee1; Hu, Shunxing1; Wang, Yingjian1,2
Source PublicationOPTICS EXPRESS
Volume26Issue:13Pages:16547-16559
2018-06-25
Language英语
ISSN1094-4087
DOI10.1364/OE.26.016547
Indexed BySCI ; Ei
WOS IDWOS:000436226800043
EI Accession Number20182605377868
SubtypeJ
AbstractSingle-pixel imaging has the ability to generate images at nonvisible wavelengths and under low light conditions and thus has received increasing attention in recent years. Fourier single-pixel imaging (FSI) utilizes deterministic basis patterns for illumination to greatly improve the quality of image reconstruction. However, the original FSI based on grayscale Fourier basis illumination patterns is limited by the imaging speed as the digital micro-mirror devices (DMD) used to generate grayscale patterns operate at a low refresh rate. In this paper, a new approach is proposed to increase the imaging speed of DMD-based FSI without reducing the imaging spatial resolution. In this strategy, the grayscale Fourier basis patterns are split into a pair of grayscale patterns based on positive/negative pixel values, which are then decomposed into a cluster of binary basis patterns based on the principle of decimalization to binary. These binary patterns are used to illuminate the imaged object. The resulting detected light intensities multiply the corresponding weighted decomposed coefficients and are summed, and the results can be used to generate the Fourier spectrum for the imaged object. Finally, an inverse Fourier transform is applied to the Fourier spectrum to obtain the object image. The proposed technique is verified by a computational simulation and laboratory experiments. Both static and dynamic imaging experiments are carried out to demonstrate the proposed strategy. 128 x 128 pixels dynamic scenes at a speed of similar to 9 frames-per-second are captured under 22 KHz projection rate using a DMD. The reported technique accelerates the imaging speed for DMD-based FSI and provides an alternative approach to improve FSI efficiency. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
KeywordDigital devices Fourier transforms Image enhancement Image reconstruction Object detection
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9388
Collection光电工程总体研究室(一室)
Affiliation1.Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei; 230031, China;
2.University of Science and Technology of China, Hefei; 230026, China;
3.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China
Recommended Citation
GB/T 7714
Huang, Jian,Shi, Dongfeng,Yuan, Kee,et al. Computational-weighted Fourier single-pixel imaging via binary illumination[J]. OPTICS EXPRESS,2018,26(13):16547-16559.
APA Huang, Jian,Shi, Dongfeng,Yuan, Kee,Hu, Shunxing,&Wang, Yingjian.(2018).Computational-weighted Fourier single-pixel imaging via binary illumination.OPTICS EXPRESS,26(13),16547-16559.
MLA Huang, Jian,et al."Computational-weighted Fourier single-pixel imaging via binary illumination".OPTICS EXPRESS 26.13(2018):16547-16559.
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