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Twin-Image-Free Holography: A Compressive Sensing Approach.

Publication ,  Journal Article
Zhang, W; Cao, L; Brady, DJ; Zhang, H; Cang, J; Zhang, H; Jin, G
Published in: Physical review letters
August 2018

Holographic reconstruction is troubled by the phase-conjugate wave front arising from Hermitian symmetry of the complex field. The so-called twin image obfuscates the reconstruction in solving the inverse problem. Here we quantitatively reveal how and how much the twin image affects the reconstruction and propose a compressive sensing (CS) approach to reconstruct a hologram completely free from the twin image. Using the canonical basis, the incoherence condition of CS is naturally satisfied by the Fourier transformation associated with wave propagation. With the propagation kernel function related to the distance, the object wave diffracts into a sharp pattern while the phase-conjugate wave diffracts into a diffuse pattern. An iterative algorithm using a total variation sparsity constraint could filter out the diffuse conjugated signal and overcome the inherent physical symmetry of holographic reconstruction. The feasibility is verified by simulation and experimental results, as well as a comparative study to an existing phase retrieval method.

Duke Scholars

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Published In

Physical review letters

DOI

EISSN

1079-7114

ISSN

0031-9007

Publication Date

August 2018

Volume

121

Issue

9

Start / End Page

093902

Related Subject Headings

  • General Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences
  • 01 Mathematical Sciences
 

Citation

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Zhang, W., Cao, L., Brady, D. J., Zhang, H., Cang, J., & Jin, G. (2018). Twin-Image-Free Holography: A Compressive Sensing Approach. Physical Review Letters, 121(9), 093902. https://doi.org/10.1103/physrevlett.121.093902
Zhang, Wenhui, Liangcai Cao, David J. Brady, Hua Zhang, Ji Cang, Hao Zhang, and Guofan Jin. “Twin-Image-Free Holography: A Compressive Sensing Approach.Physical Review Letters 121, no. 9 (August 2018): 093902. https://doi.org/10.1103/physrevlett.121.093902.
Zhang W, Cao L, Brady DJ, Zhang H, Cang J, Jin G. Twin-Image-Free Holography: A Compressive Sensing Approach. Physical review letters. 2018 Aug;121(9):093902.
Zhang, Wenhui, et al. “Twin-Image-Free Holography: A Compressive Sensing Approach.Physical Review Letters, vol. 121, no. 9, Aug. 2018, p. 093902. Epmc, doi:10.1103/physrevlett.121.093902.
Zhang W, Cao L, Brady DJ, Zhang H, Cang J, Jin G. Twin-Image-Free Holography: A Compressive Sensing Approach. Physical review letters. 2018 Aug;121(9):093902.

Published In

Physical review letters

DOI

EISSN

1079-7114

ISSN

0031-9007

Publication Date

August 2018

Volume

121

Issue

9

Start / End Page

093902

Related Subject Headings

  • General Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences
  • 01 Mathematical Sciences