Skip to main content
SpringerLink
Log in

Adaptive Iterative Method of Selecting Weight Coefficients for Digital Hologram Binarization Using Error Diffusion

  • OPTOPHYSICAL MEASUREMENTS
  • Published:
Measurement Techniques Aims and scope

This article discusses optical methods and technologies that can register, transform, store, transmit, and reproduce large arrays of information. Digital holograms recorded using photographic equipment of various types is common carriers of experimentally recorded information. The size of digital hologram files is several tens of megabytes. Hence, for the storage and transmission of holographic data archives via communication channels, holograms should be compressed. Binarization represents one of the options for reducing the hologram size. For binarization, an iterative adaptive method for selecting the weight coefficients of the error diffusion procedure is proposed. The method has been tested on digital holograms that were optically recorded under various conditions. The quality of the measured objects was evaluated through numerical methods of image reconstruction and after displaying digital holograms on a micromirror light modulator. The proposed method can be used for compressing and storing holographic data, measuring the characteristics and shape of micro- and macroobjects, and fast optical image reconstruction using a micromirror light modulator.

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

Similar content being viewed by others

References

  1. U. Schnars, C. Falldorf, J. Watson, and W. Jüptner, Digital Holography and Wavefront Sensing: Principles, Techniques and Applications, Springer-Verlag (2015), https://doi.org/https://doi.org/10.1007/978-3-662-44693-5.

  2. S. A. Shoidin and A. L. Pazoev, Optoelectr. Instrum. Data Proc., 57, No. 1, 80–88 (2021), https://doi.org/https://doi.org/10.3103/S8756699021010118.

  3. E. M. Gomez-Valencia, S. Trejos, A. Velez-Zea, et al., J. Opt., 23, No. 7 (2021), https://doi.org/https://doi.org/10.1088/2040-8986/ac0874.

  4. P A. Cheremkhin and E. A. Kurbatova, Sci. Rep., 9, 7561 (2019), https://doi.org/https://doi.org/10.1038/s41598-019-44119-0.

  5. Z. Liu, J. Watson, and A. Allen, IEEE J. Ocean Eng., 43, 83–92 (2018), https://doi.org/https://doi.org/10.1109/JOE.2017.2690537.

  6. T. J. Naughton, Y. Frauel, B. Javidi, and E. Tajahuerce, Appl. Opt., 41, 4124–4132 (2002), https://doi.org/https://doi.org/10.1364/AO.41.004124.

  7. K. Min and J. H. Park, Opt. Express, 28, 38140–38154 (2020), https://doi.org/https://doi.org/10.1364/OE.411312.

  8. P. A. Cheremkhin, E. A. Kurbatova, N. N. Evtikhiev, et al., J. Opt., 23 (2021), https://doi.org/https://doi.org/10.1088/2040-8986/ac05d1.

  9. N. N. Evtikhiev, V. V. Krasnov, I. P. Ryabcev, et al., Measur. Techn., 64, No. 5, 346–351 (2021), https://doi.org/https://doi.org/10.1007/s11018-021-01940-2.

  10. I. S. Gibin, V. I. Kozik, and E. S. Nezhevenko, Optoelectr. Instrum. Data Proc., 56, No. 1, 1–9 (2020), https://doi.org/https://doi.org/10.3103/S875669902001001X.

  11. P. A. Cheremkhin and E. A. Kurbatova, Opt. Lasers Eng., 115, 119–130 (2019), https://doi.org/10.10167j.optlaseng.2018.11.019.

  12. V. G. Nikitaev, A. N. Pronichev, O. B. Tamrazova, et al., Measur. Techn., 64, 516–521 (2021), https://doi.org/https://doi.org/10.1007/s11018-021-01962-w.

  13. R. W. Floyd and L. Steinberg, “An adaptive algorithm for spatial gray scale,” Proc. Soc. Inf. Disp., 17, 75–77 (1976).

    Google Scholar 

  14. K. Liu, Z. He, and L. Cao, Chin. Opt. Lett, 9, 050501 (2021), https://doi.org/https://doi.org/10.3788/COL202119.050501.

  15. D. E. Knuth, ACM Trans. Grap., 6, No. 4, 245–273 (1987), https://doi.org/https://doi.org/10.1145/35039.35040.

  16. E. A. Kurbatova, V. G. Rodin, and P. A. Cheremkhin, Optoelectr. Instrum. Data Proc., 56, No. 2, 205–211 (2020), https://doi.org/https://doi.org/10.3103/S8756699020020120.

  17. G. Yang, S. Jiao, J. -P. Liu, et al., Appl. Opt, 58, 5547–5555 (2019), https://doi.org/https://doi.org/10.1364/AO.58.005547.

  18. N. Verrier and M. Atlan, Appl. Opt., 50, H136–H146 (2011), https://doi.org/https://doi.org/10.1364/AO.50.00H136.

  19. P. A. Cheremkhin, N. N. Evtikhiev, E. A. Kurbatova, et al., J. Imaging, 8, No. 2, 15 (2022), https://doi.org/https://doi.org/10.3390/jimaging8020015.

  20. Q. Huynh-Thu and M. Ghanbari, Electron. Lett., 44, 800–801 (2008), https://doi.org/https://doi.org/10.1049/et20080522.

Download references

Author information

Authors and Affiliations

  1. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia

    N. N. Evtikhiev, V. G. Rodin, E. A. Savchenkova, R. S. Starikov & P. A. Cheremkhin

Authors
  1. N. N. Evtikhiev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. G. Rodin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. A. Savchenkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. S. Starikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. P. A. Cheremkhin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. N. Evtikhiev.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 6, pp. 41–45, June, 2022.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Evtikhiev, N.N., Rodin, V.G., Savchenkova, E.A. et al. Adaptive Iterative Method of Selecting Weight Coefficients for Digital Hologram Binarization Using Error Diffusion. Meas Tech 65, 432–437 (2022). https://doi.org/10.1007/s11018-022-02101-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-022-02101-9

Keywords

Search

Navigation