基于分块压缩感知理论的太赫兹波宽光束成像技术
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摘要
提出了一种基于分块压缩感知理论的太赫兹波宽光束成像技术。模拟结果显示,该技术可以实现高分辨率、高质量的快速成像。采用连续太赫兹波CO_2气体激光器光源,基于宽光束矩阵调制采样,对不同物体进行了分块压缩感知成像,并与基于单像素随机采样的分块压缩感知方法进行了对比。结果表明,所提技术具有更高的成像稳定性,且其采样过程对不同成像物体的普适性更好。
A terahertz wave wide-beam imaging technology based on the block compressive sensing theory is proposed. Simulation results show that this technology can be used to achieve the rapid imaging with high resolution and high quality. With the CO_2 gas laser light source of continuous terahertz wave and based on the wide-beam matrix modulation sampling, the different objects are imaged by block compressive sensing. The results are compared with that by the block compressive sensing method based on single-pixel random sampling. It is shown that the proposed technology has a higher imaging stability. Moreover, the sampling process is more universal for different imaging objects.
A terahertz wave wide-beam imaging technology based on the block compressive sensing theory is proposed. Simulation results show that this technology can be used to achieve the rapid imaging with high resolution and high quality. With the CO_2 gas laser light source of continuous terahertz wave and based on the wide-beam matrix modulation sampling, the different objects are imaged by block compressive sensing. The results are compared with that by the block compressive sensing method based on single-pixel random sampling. It is shown that the proposed technology has a higher imaging stability. Moreover, the sampling process is more universal for different imaging objects.
引文
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[2] Liu H B,Zhong H,Karpowicz N,et al.Terahertz spectroscopy and imaging for Defense and security applications[J].Proceedings of the IEEE,2007,95(8):1514-1527.
[3] Xu D G,Li C Z,Wang Y Y,et al.Ring-Cavity Terahertz Parametric Oscillator Based on MgO\:SLN Crystals[J].Acta Optica Sinica,2018,38(11):1119001 徐德刚,李长昭,王与烨,等.基于MgO\:SLN晶体的环形腔太赫兹参量振荡器[J].光学学报,2018,38(11):1119001.
[4] Hu B B,Nuss M C.Imaging with terahertz waves[J].Optics Letters,1995,20(16):1716-1718.
[5] Zimdars D.High speed terahertz reflection imaging[J].Proceedings of SPIE,2005,5692:255-259.
[6] Friederich F,von Spiegel W,Bauer M,et al.THz active imaging systems with real-time capabilities[J].IEEE Transactions on Terahertz Science and Technology,2011,1(1):183-200.
[7] Chen Y,Fan X,Cheng Y B,et al.Compressive sensing ghost imaging based on neighbor similarity[J].Acta Optica Sinica,2018,38(7):0711001.陈熠,樊祥,程玉宝,等.基于邻域相似度的压缩感知鬼成像[J].光学学报,2018,38(7):0711001.
[8] Takhar D,Laska J N,Wakin M B,et al.A new compressive imaging camera architecture using optical-domain compression[J].Proceedings of SPIE,2006,6065:606509.
[9] Duarte M F,Davenport M A,Takhar D,et al.Single-pixel imaging via compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):83-91.
[10] Dinh K Q,Shim H J,Jeon B.Small-block sensing and larger-block recovery in block-based compressive sensing of images[J].Signal Processing:Image Communication,2017,55:10-22.
[11] Gan L.Block compressed sensing of natural images[C]//2007 15th International Conference on Digital Signal Processing,1-4 July 2007,Cardiff,UK,2007:403-406.
[12] Hwang B M,Lee S H,Lim W T,et al.A fast spatial-domain terahertz imaging using block-based compressed sensing[J].Journal of Infrared,Millimeter,and Terahertz Waves,2011,32(11):1328-1336.
[13] Cho S H,Lee S H,Nam-Gung C,et al.Fast terahertz reflection tomography using block-based compressed sensing[J].Optics Express,2011,19(17):16401-16409.
[14] Wang Y Y,Ren Y C,Chen L Y,et al.Terahertz two-pixel imaging based on complementary compressive sensing[J].Chinese Physics B,2018,27(11):114204.
[15] Duan P,Wang Y Y,Xu D G,et al.Single pixel imaging with tunable terahertz parametric oscillator[J].Applied Optics,2016,55(13):3670-3675.