Skip to main content
Log in

Twin-image suppression in digital in-line holography based on wave-front filtering

  • Theoretical advances
  • Published:
Pattern Analysis and Applications Aims and scope Submit manuscript

Abstract

Digital holography is an imaging process able to recreate three-dimensional representations of objects from recording pattern interference among distinct waves. The in-line configuration setup is a variant considered the simplest physical implementation, providing a feasible manner for acquisition and the same time higher resolution for free-living microscopy imaging using a single illumination system. However, the well-known twin-image problem is bounded to the technique, since there is no separation among reference and objects beams in this configuration. As a result, computational numerical diffraction routines present the twin-image effect intrinsically, imposing several difficulties in terms of post-processing requirements. In this context, this paper aims to present a numerical approach able to provide consistent suppression of twin-image problem for in-line holography, during the numerical diffraction procedure for phase retrieval, combining image subtraction and edge detection techniques. The proposed solution was implemented in Python language, and metrics defined to assess it were both qualitative and quantitative, based on edge detection and some image comparison metrics. The obtained results of the proposed approach present a significant reduction in the twin-image artifacts in the reconstructions of both experimental and simulated holograms, considering a spherical reference wave, regardless of the shapes and sizes of objects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Gabor D (1948) A new microscopic principle. Nature 161:777–778

    Article  Google Scholar 

  2. Kim Myung K (2011) Digital holographic microscopy. in principles techniques and application. Springer Series in Optical Sciences, New York

    Google Scholar 

  3. Kim MK (2011) Digital holographic microscopy: principles, techniques and applications, 1st edn. Springer, NY

    Book  Google Scholar 

  4. Latychevskaia T, Fink HW (2015) Practical algorithms for simulation and reconstruction of digital in-line holograms. Appl Optics 54(9):2424–2434

    Article  Google Scholar 

  5. Haeffele Benjamin D, Richard S, Geert V, René V (2017) Efficient reconstruction of holographic lens-free images by sparse phase recovery. In: M Descoteaux, L Maier-Hein, A Franz, P Jannin, DL Collins, and S Duchesne (ed) Medical image computing and computer-assisted intervention - MICCAI 2017 Springer International Publishing, Cham pages 109–117

    Chapter  Google Scholar 

  6. Stoykova E, Kang H, Park J (2014) Twin-image problem in digital holography—a survey. Chin Opt Lett 12(6):60013

    Article  Google Scholar 

  7. Sobieranski AC, Inci F, Tekin HC, Yuksekkaya M, Comunello E, Cobra D, von Wangenhein A, Demirci U (2015) Portable lensless wide-field microscopy imaging platform based on digital inline holography and multi-frame pixel super-resolution. Light: Sci Appl 4(10):e346

    Article  Google Scholar 

  8. Latychevskaia T, Fink HW (2007) Solution to the twin image problem in holography. Phys Rev Lett 98(23):233901

    Article  Google Scholar 

  9. Zhao J, Wang D, Zhang F, Wang Y (2011) Hybrid phase retrieval approach for reconstruction of in-line digital holograms without twin image. Opt Eng 50(9):091310

    Article  Google Scholar 

  10. Rong L, Li Y, Liu S, Xiao W, Pan F, Wang D (2013) Iterative solution to the twin image problem in in-line digital holography. Opt Lasers Eng 51(5):553–559

    Article  Google Scholar 

  11. Raupach SMF (2009) Cascaded adaptive-mask algorithm for twin-image removal and its application to digital holograms of ice crystals. Appl Opt 48(2):287–301

    Article  Google Scholar 

  12. Hattay J, Belaid S, Lebrun D, Naanaa W (2014) Digital in-line particle holography: twin-image suppression using sparse blind source separation. Signal, Image Video Process 9(8):1767–1774

    Article  Google Scholar 

  13. Hattay J, Belaid S, Naanaa W, Aguili T (2017) Adaptive vectorial lifting concept for convolutive blind source separation. Pattern Anal Appl 20(2):507–518

    Article  MathSciNet  Google Scholar 

  14. Rivenson Yair, Zhang Yibo, Günaydın Harun, Teng Da, Ozcan Aydogan (2018) Phase recovery and holographic image reconstruction using deep learning in neural networks. Light: Sci Appl 7(2):17141–17141

    Article  Google Scholar 

  15. Rivenson Yair, Yichen Wu, Ozcan Aydogan (2019) Deep learning in holography and coherent imaging. Light: Sci Appl 8(1):85

    Article  Google Scholar 

  16. Denis L, Fournier C, Fournel T, Ducottet C (2008) Numerical suppression of the twin-image in in-line holography of a volume of micro-objects. Measurement Sci Technol 19(7):074004

    Article  Google Scholar 

  17. McElhinney CP, Hennely BM, Naughton TJ (2008) Twin-image reduction in inline digital holography using an object segmentation heuristic. J Phys: Conf Ser 139(1):012014

    Google Scholar 

  18. Cho C, Choi B, Kang H, Lee S (2012) Numerical twin image suppression by nonlinear segmentation mask in digital holography. Opt Express 20(20):22454–22464

    Article  Google Scholar 

  19. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error measurement to structural similarity. IEEE Trans Image Process 13(4):600–612

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jhony Luiz de Almeida.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.

Availability of data and material

Not applicable.

Code availability

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Almeida, J.L., Comunello, E., Sobieranski, A. et al. Twin-image suppression in digital in-line holography based on wave-front filtering. Pattern Anal Applic 24, 907–914 (2021). https://doi.org/10.1007/s10044-020-00949-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10044-020-00949-7

Keywords

Navigation