• Optics and Precision Engineering
  • Vol. 31, Issue 16, 2333 (2023)
Jinghao SUN1, Zhaohua YANG1,2,*, Yun WU3, Ling'an WU4, and Yuanjin YU5,*
Author Affiliations
  • 1School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou730050,China
  • 2School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing100191,China
  • 3Beijing Institute of Control Engineering, Beijing100190, China
  • 4Institute of Physics, Chinese Academy of Sciences, Beijing100190, China
  • 5School of Automation, Beijing Institute of Technology, Beijing100081, China
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    DOI: 10.37188/OPE.20233116.2333 Cite this Article
    Jinghao SUN, Zhaohua YANG, Yun WU, Ling'an WU, Yuanjin YU. A single-pixel and computational ghost spectral imaging system based on achromatic lens[J]. Optics and Precision Engineering, 2023, 31(16): 2333 Copy Citation Text show less

    Abstract

    The influence of chromatic aberration in a spectral imaging system leads to spectral overlap of an image. This study combines single-pixel imaging and computational ghost imaging in a spectral imaging system, with an achromatic lens of 900-1 700 nm focal length to correct for chromatic aberration. First, the chromatic aberration of achromatic lenses made of different materials was calculated, and a suitable lens was selected accordingly; its aberration-correction was improved by an order of magnitude compared with other lenses. Second, the effects of chromatic aberration on spectral imaging systems and the differences between single-pixel imaging and computational ghost imaging were analyzed. Finally, two spectral imaging systems were compared through simulation and experimental analysis. The experimental results indicate that in the 900-1 700 nm wavelength range, the single-pixel spectral imaging system based on an achromatic lens achieves better image reconstruction results, with peak signal-to-noise ratio (PSNR) ]and structural similarity (SSIM) improvements of 3.93 dB and 0.96%, respectively. Simulations and experiments verify that the near-infrared single-pixel spectral imaging system based on an achromatic lens performs better than computational ghost spectral imaging.
    ΔL'FC=L'F-L'C=-ih2φiνin'2u'2(1)

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    Φ+/V++Φ-/V-=0(2)

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    Φ=Φ++Φ-(3)

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    Φ+=V+Φ/(V+-V-)(4)

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    Φ-=V-Φ/(V--V+)(5)

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    ΔL=-1ΦΔφ=-f*P+-P-V+-V-(6)

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    Vλ2=n-λ21n-λ1nλ3(7)

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    Pλ2=n-λ2nλ1n-λ1nλ3(8)

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    ΔLλ1λ2λ3=-f*PH-K9-PH-ZF2VH-K9-VH-ZF2=0.24 mm(9)

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    G(x)DGI=SBIR(x)-SBSRSBIR(x)(10)

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    PSNR=20lg2n-1MSE(11)

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    MSE=1MNi=1Mj=1N(Io(i,j)-I(i,j))2(12)

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    SSIM(x,y)=(2μxμy+c1)(2σxy+c2)(μx2+μy2+c1)(σx2+σy2+c2)(13)

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    Jinghao SUN, Zhaohua YANG, Yun WU, Ling'an WU, Yuanjin YU. A single-pixel and computational ghost spectral imaging system based on achromatic lens[J]. Optics and Precision Engineering, 2023, 31(16): 2333
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