Skip to main content
Log in

Estimation of the Efficiency of Digital Camera Photosensor Noise Measurement Through the Automatic Segmentation of Non-Uniform Target Methods and the Standard EMVA 1288

  • OPTOPHYSICAL MEASUREMENTS
  • Published:
Measurement Techniques Aims and scope

This paper discusses the problem of characterizing digital cameras and the determination of their noise characteristics, which is relevant for contemporary photographic equipment. The issues of limiting the accuracy of data obtained with digital cameras, related to the photosensor noise, are also highlighted. The European Machine Vision Association standard EMVA 1288 for measurement and presentation of specifications for machine vision sensors and cameras, and fast automatic segmentation of non-uniform target (ASNT) noise estimation methods are compared. The noise characteristics of the photosensors of the machine vision camera PixeLink PL-B781F, scientific camera Retiga R6, and amateur camera Canon EOS M100 are investigated. The accuracies of the measurement results and speed of calculation and the method implementation are also analyzed. The assessment of the temporal noise revealed that the ASNT method is not inferior in terms of accuracy compared to the standard method and can be implemented significantly faster, even with additional images taken into account for accuracy improvement.

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.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

Similar content being viewed by others

References

  1. G. Roth (ed.), Handbook of Practical Astronomy, Springer (2009), https://doi.org/10.1007/978-3-540-76379-6.

  2. N. Stuurman and D. Ronald, Biol. Bull., 231, No. 1, 5–13 (2016), https://doi.org/10.1086/689587.

    Article  Google Scholar 

  3. O. Pianykh (ed.), Digital Imaging and Communications in Medicine (DICOM), Springer (2012), https://doi.org/10.1007/978-3-642-10850-1.

  4. A. Thaker, S. Patel, and P. Solanki, Planet. Space Sci., 184, 104856 (2020), https://doi.org/10.1016/j.pss.2020.104856.

    Article  Google Scholar 

  5. M. Cerrato-Alvarez, S. Frutos-Puerto, C. Miro-Rodriguez, and E. Pinilla-Gil, Microchem. J., 154, 104535 (2020), https://doi.org/10.1016/j.pss.2020.104856.

    Article  Google Scholar 

  6. F. Cai, T. Wang, W. Lu, and X. Zhang, Optik, 207, 164449 (2020), https://doi.org/10.1016/j.ijleo.2020.164449.

    Article  ADS  Google Scholar 

  7. H. Mai and T. Le, Comput. Opt., 44, No. 2, 189–194 (2020), https://doi.org/10.18287/2412-6179-CO-604.

    Article  ADS  Google Scholar 

  8. P. Cheremkhin, N. Evtikhiev, V. Krasnov, et al., Proc. SPIE, 9889, 98891M (2016), https://doi.org/10.1117/12.2227767.

    Article  Google Scholar 

  9. V. P. Kulesh, “Aspects of the use of videogrammetry in experimental aerodynamics,” Izmer. Tekhn., No. 11, 40–45 (2018), https://doi.org/10.32446/0368-1025it.2018-11-40-45.

  10. N. N. Evtikhiev, V. V. Krasnov, I. D. Kuzmin, et al., “Optical coding of QR codes in the scheme with spatially incoherent illumination based on two micromirror light modulators,” Kvant. Elektron., 50, No. 2, 195–196 (2020), https://doi.org/10.1070/QEL17139.

    Article  ADS  Google Scholar 

  11. A. D. Abramov and A. I. Nikonov, “Measurement of microrelief parameters based on the correlation method of image processing of the surfaces under study,” Izmer. Tekhn., No. 11, 36–39 (2018), https://doi.org/10.32446/0368-1025it.2018-11-36-39.

  12. A. A. Mochalov, A. Yu. Varaksin, and A. N. Arbekov, “Measurements of the velocity fi elds of non-stationary air vortices by the anemometry method from particle images,” Izmer. Tekhn., No. 3, 37–41 (2019), https://doi.org/10.32446/0368-1025it.2019-3-37-41.

  13. European Machine Vision Association, EMVA Standard 1288 Standard for Characterization of Image Sensors and Cameras, Release 3.1 (2016), www.emva.org/cms/upload/Standards/, acc. 12.12.2020.

  14. M. Rakhshanfar and M. Amer, IEEE T. Image Proc., 25, No. 9, 4175–4184 (2016), https://doi.org/10.1109/TIP.2016.2588320.

    Article  Google Scholar 

  15. I. T. Young, J. J. Gerbrands, and L. J. van Vliet (eds.), Fundamentals of Image Processing, Delft, Delft University of Technology (2007).

    Google Scholar 

  16. V. De Silva, V. Chesnokov, and D. Larkin, Proceedings of Electronic Imaging, Digital Photography and Mobile Imaging XII, San-Francisco, USA, Feb. 14–18, 2016, Society for Imaging Science and Technology, pp. 1–5, https://doi.org/10.2352/ISSN.2470-1173.2016.18.DPMI-249.

  17. P. Cheremkhin, N. Evtikhiev, S. Starikov, et al., Opt. Eng., 53, No. 10, 102107 (2014), https://doi.org/10.1117/lOE.53.10.102107.

    Article  ADS  Google Scholar 

  18. A. Foi, S. Alenius, V. Katkovnik, and K. Egiazarian, IEEE Sens. J., 7, 1456–1461 (2007), https://doi.org/10.1109/JSEN.2007.904864.

    Article  ADS  Google Scholar 

  19. P. Cheremkhin, N. Evtikhiev, V. Krasnov, et al., Proc. SPIE, 9648, 96480R (2015), https://doi.org/10.1117/12.2194979.

    Article  Google Scholar 

  20. M. Grunwald, P. Laube, M. Schall, et al., Proc. SPIE, 10395, 103950 (2017), https://doi.org/10.1117/12.2272559.

    Article  Google Scholar 

Download references

This work was performed with partial support from the Small Scientific and Technical Enterprise Assistance Fund (contract No. 15084GU/2020).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. V. Kozlov or P. A. Cheremkhin.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 4, pp. 28–35, April, 2021.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Evtikhiev, N.N., Kozlov, A.V., Krasnov, V.V. et al. Estimation of the Efficiency of Digital Camera Photosensor Noise Measurement Through the Automatic Segmentation of Non-Uniform Target Methods and the Standard EMVA 1288. Meas Tech 64, 296–304 (2021). https://doi.org/10.1007/s11018-021-01932-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-021-01932-2

Keywords

Navigation