Preview

Izmeritel`naya Tekhnika

Advanced search
Open Access Open Access  Restricted Access Subscription Access

Estimation of efficiency of measurement of digital camera photosensor noise by automatic segmentation of non-uniform target method and the standard EMVA 1288

https://doi.org/10.32446/0368-1025it.2021-4-28-35

Abstract

In this paper important task of estimation of digital camera’s noise parameters is considered. Relation of accuracy of data obtained with digital camera and photosensor noise is discussed. Both standard European machine vision association EMVA 1288 and fast automatic segmentation of non-uniform target (ASNT) noise estimation methods are compared. Noise characteristics of machine vision PixeLink PL-B781F, scientific Retiga R6 and amateur mirrorless Canon EOS M100 cameras have been investigated. Accuracy of measurements, speed of calculation and experimental realization has been analyzed. Accuracy of temporal noise estimation by modifi ed ASNT method is no less than that one for standard EMVA 1288. But the ASNT method can be implemented much faster than the standard EMVA 1288 even with additional frames for accuracy improvement.

About the Authors

N. N. Evtikhiev
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

Nickolay N. Evtikhiev

Moscow



A. V. Kozlov
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

Alexander V. Kozlov

Moscow

 



V. Krasnov
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

V. Krasnov

Moscow



V. G. Rodin
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

Vladislav G. Rodin

Moscow



R. S. Starikov
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

Rostislav S. Starikov

Moscow



P. A. Cheremkhin
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation

Pavel A. Cheremkhin

Moscow



References

1. Handbook of Practical Astronomy, ed. G. Roth, Springer, 2009, 736 p. https://doi.org/10.1007/978-3-540-76379-6

2. Stuurman N., Ronald D., Biol. Bull., 2016, vol. 231, no. 1, pp. 5–13. https://doi.org/10.1086/689587

3. Digital Imaging and Communications in Medicine (DICOM), ed. O. Pianykh, Springer, 2012, 602 p. https://doi.org/10.1007/978-3-642-10850-1

4. Thaker A., Patel S., Solanki P., Planetary and Space Science, 2020, vol. 184, pp. 104856. https://doi.org/10.1016/j.pss.2020.104856

5. Cerrato-Alvarez M., Frutos-Puerto S., Miró-Rodríguez C., Pinilla-Gil E., Microchem. J., 2020, vol. 154, pp. 104535. https://doi.org/10.1016/j.pss.2020.104856

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

7. Mai H., Le T., Computer Optics, 2020, vol. 44, no. 2, pp. 189–194. https://doi.org/10.18287/2412-6179-CO-604

8. Cheremkhin P., Evtikhiev N., Krasnov V., Kulakov M., Kurbatova E., Molodtsov D., Rodin V., Proceedings of SPIE, 2016, vol. 9889, pp. 98891M. https://doi.org/10.1117/12.2227767

9. Kulesh V. P., Measurement Techniques, 2019, vol. 61, no. 11, pp. 1091–1097. https://doi.org/10.1007/s11018-019-01554-9

10. Evtikhiev N. N., Krasnov V. V., Kuzmin I. D., Molodtsov D. Yu., Rodin V. G., Starikov R. S., Cheremkhin P. A., Quantum Electronics, 2020, vol. 50, no. 2, pp. 195–196. https://doi.org/10.1070/QEL17139

11. Abramov A. D. Nikonov A. I., Measurement Techniques, 2019, vol. 61, no. 11, pp. 1086–1090. https://doi.org/10.1007/s11018-019-01553-w

12. Mochalov A. A., Varaksin A. Yu., Arbekov A. N., Measurement Techniques, 2019, vol. 62, no. 3, pp. 242–248. https://doi.org/10.1007/s11018-019-01611-3

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

14. Rakhshanfar M., Amer M., IEEE Trans. Image Process, 2016, vol. 25, no. 9, pp. 4175–4184. https://doi.org/10.1109/TIP.2016.2588320

15. Fundamentals of Image Processing, ed. I. T. Young, J. J. Gerbrands, L. J. van Vliet, Delft, Delft University of Technology, 2007, 113 p.

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

17. Cheremkhin P., Evtikhiev N., Starikov S., Krasnov V., Rodin V., Optical Engineering, 2014, vol. 53, no. 10, pp. 102107. https://doi.org/10.1117/1.OE.53.10.102107

18. Foi A., Alenius S., Katkovnik V., Egiazarian K., IEEE Sensors Journal, 2007, vol. 7, pp. 1456–1461. https://doi.org/10.1109/JSEN.2007.904864

19. Cheremkhin P., Evtikhiev N., Krasnov V., Rodin V., Starikov R., Starikov S., Proceedings of SPIE, 2015, vol. 9648, pp. 96480R. https://doi.org/10.1117/12.2194979

20. Grunwald M., Laube P., Schall M., Umlauf G., Franz M., Proceedings of SPIE, 2017, vol. 10395, pp. 103950. https://doi.org/10.1117/12.2272559

21.

22.


Review

For citations:


Evtikhiev N.N., Kozlov A.V., Krasnov V., Rodin V.G., Starikov R.S., Cheremkhin P.A. Estimation of efficiency of measurement of digital camera photosensor noise by automatic segmentation of non-uniform target method and the standard EMVA 1288. Izmeritel`naya Tekhnika. 2021;(4):28-35. (In Russ.) https://doi.org/10.32446/0368-1025it.2021-4-28-35

Views: 124


ISSN 0368-1025 (Print)
ISSN 2949-5237 (Online)