Skip to main content
SpringerLink
Log in

Despeckling by sparse sampling on Bernoulli process in single-shot digital holography

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Digital holography is a promising imaging technology. However, there is speckle noise in the reconstructed image of a digital hologram. Speckle degrades the quality of the reconstructed image. Suppression of speckle noise is a challenging problem in digital holography. A novel method is proposed to reduce speckle by a single-shot digital hologram in this paper. In the proposed method, a single-shot digital hologram is obtained by a conventional experiment setup without additional requirements. At the same time, different binary masks are designed and generated on Bernoulli process in a computer. Then the single-shot digital hologram is sampled by these binary masks to generate multiple holographic patterns. Eventually, these holographic patterns are reconstructed to suppress speckle noise in the reconstruction image. Simulation and experiment are made to verify the proposed method. Results show that it is effective and feasible for the proposed method to reduce speckle in the digital holography. The proposed method can be applied into various fields such as three-dimensional imaging, holographic diagnosis, and art display.

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

Access this article

Log in via an institution

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
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Amitai U, Yair R, Adrian S (2013) Speckle denoising in digital holography by nonlocal means filtering. Appl Opt 52:A195–A200

    Article  Google Scholar 

  2. Baumbach T, Kolenović E, Kebbel V, Jüptner W (2006) Improvement of accuracy in digital holography by use of multiple holograms. Appl Opt 45:6077–6085

    Article  Google Scholar 

  3. Dewaele P, Wambacq P, Oosterlinck A, Marchand J (1990) Comparison of some speckle reduction techniques for SAR images. In: 1990 10th international conference on geoscience and remote sensing symposium (IGARSS). IEEE, Maryland, USA, pp 2417–2422

    Google Scholar 

  4. Fukuoka T, Mori Y, Nomura T (2016) Speckle reduction by spatial-domain mask in digital holography. J Display Tech 12:315–322

    Article  Google Scholar 

  5. Gagnon L, Jouan A (1997) Speckle filtering of SAR images: A comparative study between complex-wavelet-based and standard filters. In 1997 SPIE meeting: wavelet application in Signal & Image Processing V, IEEE, Washington, USA, pp. 80–91.

  6. Goodman J.W (2006) Speckle phenomena in optics: theory and applications. Roberts and Company Publishers, USA, pp7–58.

  7. Hincapie D, Herrera-Ramírez J, Garcia-Sucerquia J (2015)Single-shot speckle reduction in numerical reconstruction of digitally recorded holograms. Opt Lett 40:1623–1626

    Article  Google Scholar 

  8. Kuratomi Y, Sekiya K, Satoh H, Tomiyama T, Kawakami T, Katagiri B, Suzuki Y, Uchida T (2010) Speckle reduction mechanism in laser rear projection displays using a small moving diffuser. J Opt Soc Am A 27:1812–1817

    Article  Google Scholar 

  9. Leng J, Sang X, Yan B (2014) Speckle noise reduction in digital holography with spatial light modulator and nonlocal means algorithm. Chin Opt Lett 12:0403011–0403015

    Google Scholar 

  10. Leng J, Sang X, Yan B (2014) Speckle suppression in digital holographic imaging with random phases and different wavelengths. Opt Eng 53:0331051–0331055

    Article  Google Scholar 

  11. Li D, Kelly D, Sheridan J (2013) Speckle suppression by doubly scattering systems. Appl Opt 52:8617–8626

    Article  Google Scholar 

  12. Maycock J, Hennelly BM, McDonald J, Frauel Y, Catro A, Javidi B, Naughton T (2007) Reduction of speckle in digital holography by discrete Fourier filtering. J Opt Soc Am A 24:1617–1622

    Article  Google Scholar 

  13. Maycock J, Hennelly B, McDonald J (2015)Single-shot speckle reduction in numerical reconstruction of digitally recorded holograms: comment. Opt Lett 40:3953

    Article  Google Scholar 

  14. Memmolo P, Bianco V, Paturzo ME, Finizio A, Javidi B, Ferraro P (2016) A new method for noise suppression in digital holography. Imaging and Applied Optics Congress, Heidelberg, Germany, DW5E6.

  15. Nomura T, Okamura M, Nitanai E, Numata T (2008) Image quality improvement of digital holography by superposition of reconstructed images obtained by multiple wavelengths. Appl Opt 47:D38–D43

    Article  Google Scholar 

  16. Pan F, Xiao W, Liu S, Rong L (2013) Coherent noise reduction in digital holographic microscopy by laterally shifting camera. Opt Commun 292:68–72

    Article  Google Scholar 

  17. Panezai S, Zhao J, Wang Y, Wang D, Rong L (2017) Speckle suppression in off-axis lensless Fourier transform digital holography. Opt Commun 397:100–104

    Article  Google Scholar 

  18. Pasquale M, Vittorio B, Melania P, Bahram J, Paolo A, Pietro F (2014) Encoding multiple holograms for speckle-noise reduction in optical display. Opt Express 22:25768–25775

    Article  Google Scholar 

  19. Quan C, Kang X, Tay C (2007) Speckle noise reduction in digital holography by multiple holograms. Opt Eng 46:1158011–1158016

    Google Scholar 

  20. Rong L, Xiao W, Pan F, Liu S, Li R (2010) Speckle noise reduction in digital holography by use of multiple polarization holograms. Chin Opt Let 8:653–655

    Article  Google Scholar 

  21. Wang Y, Meng P, Wang D, Rong L, Panezai S (2013) Speckle noise suppression in digital holography by angular diversity with phase-only spatial light modulator. Opt Express 21:19568–19578

    Article  Google Scholar 

  22. Xiao W, Zhang J, Rong L, Pan F, Liu S, Wang F, He A (2011) Improvement of speckle noise suppression in digital holography by rotating linear polarization state. Chin Opt Lett 9:0609011–0609013

    Google Scholar 

  23. Yan K, Yu Y, Huang C, Sui L, Qian K, Asundi A (2019) Fringe pattern denoising based on deep learning. Opt Comm 437:148–152

    Article  Google Scholar 

  24. Yin D, Gu Z, Zhang Y, Gu F, Nie S, Feng S, Ma J, Yuan C (2020) Speckle noise reduction in coherent imaging based on deep learning without clean data. Opt Laser Eng 133:106151

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported in part by Science and Technology Projects of Beijing Municipal Education Commission (No.KM201911232012) and by Qin Xin Talents Cultivation Program of Beijing Information Science & Technology University (QXTCP C201905).

Author information

Authors and Affiliations

  1. School of Information and Communications Engineering, Beijing Information Science and Technology University, Beijing, 100101, China

    Junmin Leng, Honglian Li & Fubing Li

  2. Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, 100101, China

    Junmin Leng, Honglian Li & Fubing Li

Authors
  1. Junmin Leng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Honglian Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fubing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Junmin Leng.

Ethics declarations

Conflict of interest

No 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

Leng, J., Li, H. & Li, F. Despeckling by sparse sampling on Bernoulli process in single-shot digital holography. Multimed Tools Appl 81, 9741–9757 (2022). https://doi.org/10.1007/s11042-022-11935-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-022-11935-y

Keywords

Search

Navigation