Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging

WANG Ming-hai; CAO Jun-sheng; GAO Feng-li

doi:10.3788/OPE.20142206.1438

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Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging

更新时间：2020-08-13

- Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging
- Optics and Precision Engineering Vol. 22, Issue 6, Pages: 1438-1445(2014)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 吉林大学电子科学与工程学院集成光电子学国家重点联合实验室吉林大学实验区,吉林长春,130012
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142206.1438
  CLC： TN27;TP391
- Received：16 August 2013，
  
  Revised：31 October 2013，
  
  Published：25 June 2014
- 稿件说明：
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王铭海, 曹军胜, 郜峰利. 双臂对称性对压缩传感用于关联成像重构的影响[J]. 光学精密工程, 2014,22(6): 1438-1445

WANG Ming-hai, CAO Jun-sheng, GAO Feng-li. Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging[J]. Editorial Office of Optics and Precision Engineering, 2014,22(6): 1438-1445
王铭海, 曹军胜, 郜峰利. 双臂对称性对压缩传感用于关联成像重构的影响[J]. 光学精密工程, 2014,22(6): 1438-1445 DOI： 10.3788/OPE.20142206.1438.

WANG Ming-hai, CAO Jun-sheng, GAO Feng-li. Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging[J]. Editorial Office of Optics and Precision Engineering, 2014,22(6): 1438-1445 DOI： 10.3788/OPE.20142206.1438.

摘要

根据压缩传感理论和关联成像模型，将压缩传感理论应用于关联成像中，实现了传统的双臂关联成像的压缩传感重构。通过仿真实验验证了压缩传感用于关联成像的可行性，以峰值信噪比（PSNR）为衡量指标，分别对压缩传感和传统关联算法的重构图像质量进行了量化。仿真实验表明，压缩传感和关联算法的重构效果均随测量次数的增加而变优，在相同的测量次数下，压缩传感在关联成像中的重构图像的PSNR比传统的关联重构图像高20 dB以上。将压缩传感用于实际双臂关联成像的实验结果表明，压缩传感可以实现双臂关联成像装置的图像重构，但其重构质量很难优于传统关联算法的重构。针对这一实际实验与仿真实验似乎相矛盾的特殊现象，从双臂对称性的角度进行了合理解释，并利用实验中实际的散斑场对该现象进行了验证，最后提出了解决方案。

Abstract

According to Compressive Sensing (CS) algorithms and the Ghost imaging (GI) model

the CS was applied to the GI system to complete the CS reconstruction of an image. The feasibility of CS applied in GI was firstly validated by a simulation experiment. By using Peak Signal to Noise Ratio(PSNR) as the measure

the restructured images based on CS and traditional GI correlation algorithms were quantified respectively. The simulation experiment results indicate that both the restructured images are getting better with the increase of the number of measurements

however

the PSNR of CS reconstruction image is above 20 dB higher than that of the traditional correlation reconstruction method at the same number of measurements. Furthermore

the CS was applied in an actual two-arm GI experiment. The experiment results indicate that the CS can achieve the image reconstruction of two-arm correlation imaging equipment

but its reconstruction quality is hard to be better than that of the GI correlation algorithm. For this special confliction phenomenon

the paper gives some reasonable interpretations from the two-arm symmetry perspective and then fully validates the interpretations by using the actual speckle pattern from the experiment. Finally

it proposes a solution scheme.

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Keywords

references

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