Multi-aperture digital telescopic system with super-resolution

Bezzubik, V.V., Belashenkov, N.R., Vasiliev, V.N., Vdovin G.V., Inochkin, F.M., Solov'ev О.А., Rudin Y.V.

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Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Беззубик В.В., Белашенков Н.Р., Васильев В.Н., Вдовин Г.В., Иночкин Ф.М., Соловьев О.А., Рудин Я.В. Многоапертурная цифровая телескопическая система со сверхразрешением // Оптический журнал. 2020. Т. 87. № 12. С. 93 –102. http://doi.org/10.17586/1023-5086-2020-87-12-93-102

For citation (Journal of Optical Technology):

V. V. Bezzubik, N. R. Belashenkov, V. N. Vasil’ev, G. V. Vdovin, F. M. Inochkin, O. A. Solov’ev, and Ya. V. Rudin, "Multi-aperture digital telescopic system with super-resolution," Journal of Optical Technology . 87(12), 767-773 (2020) https://doi.org/10.1364/JOT.87.000767

Keywords:

atmospheric turbulence, multi-aperture optical system, blind deconvolution, super-resolution

OCIS codes: 110.0115, 110.1455, 110.3010, 110.6770

References:

1. Лапин Ю.В. Статистическая теория турбулентности (прошлое и настоящее — краткий очерк идей) // Научно-технические ведомости. 2004. Т. 2. С. 7–20.

2. Roggemann M.C., Welsh B. Imaging through turbulence. Boca Raton: CRC Press, 1996. 320 c.

3. Roddier F. Adaptive optics in astronomy. Cambridge: Cambridge University Press, 1999. 420 с.

4. Vorontsov M.A., Carhart G.W. Anisoplanatic imaging through turbulent media: image recovery by local information fusion from a set of short-exposure images // JOSA A. 2001. V. 18(6). P. 1312–1324.

5. Loktev M., Vdovin G., Soloviev O., Kryukov S., Savenko S. Adaptive optics combined with computer post-processing for horizontal turbulent imaging // Proceedings of SPIE (The International Society for Optical Engineering). 2012. V. 8437. P. 84370Y.

6. Carrano C.J. Speckle imaging over horizontal paths // Proc. SPIE. 2002. V. 4825(1). P. 109–120.

7. Bos J.P., Calef B. Using aperture partitioning to improve scene recovery in horizontal long-path speckle imaging // Proc. SPIE. 2015. V. 9614. P. 961407.

8. Vdovin G., Soloviev O., Loktev M., Savenko S. Imaging through turbulence with temporally and spatially multiplexed systems // Proceedings of SPIE (The International Society for Optical Engineering). 2011. V. 8178. P. 81780F.

9. Loktev M., Soloviev O., Savenko S., Vdovin G. Speckle imaging through turbulent atmosphere based on adaptable pupil segmentation // Opt. Lett. 2011. V. 36. № 14. P. 2656.

10. Soloviev O.A., Vdovin G.V., Bezzubik V.V. Сomparison of on-line and off-line Fried parameter estimation methods // Sci. Tech. J. Inf. Technol. Mech. Opt. 2019. № 12. P. 959–965.

11. Paxman R.G., Schulz T.J., Fienup J.R. Joint estimation of object and aberrations by using phase diversity // J. Opt. Soc. Am. A. 1992. V. 9. P. 1072–1085.

12. Lane R.G. Blind deconvolution of speckle images // J. Opt. Soc. Am. A. 1992. V. 9. P. 1508–1514.

13. Schulz T.J. Multiframe blind deconvolution of astronomical images // J. Opt. Soc. Am. A. 1993. V. 10. P. 1064–1073.

14. Christou J., Hege K. Iterative deconvolution algorithm in C (IDAC) // Arizona Board of Regents. 2000. http://cfao.ucolick.org/software/idac/

15. Mugnier Laurent M., Fusco Thierry, Conan Jean-Marc. Mistral: a myopic edge-preserving image restoration method, with application to astronomical adaptive-optics-corrected long-exposure images // J. Opt. Soc. Am. A. 2004. V. 21. P. 1841–1854.

16. Chaudhuri S., Velmurugan R., Rameshan R. Blind deconvolution methods: A review // Blind Image Deconvolution / Springer. 2014. P. 37–60.

17. Wilding D., Soloviev O., Pozzi P., Vdovin G., Verhaegen M. Blind multi-frame deconvolution by tangential iterative projections (TIP) // Opt. Express. 2017. V. 25. P. 32305–32322.

18. Тихонов А.Н., Арсенин В.Я. Методы решения некорректных задач. М.: Наука, 1979. 285 c. 19. Rudin L., Osher S., Fatemi E. Nonlinear total variation based noise removal algorithms // Physica D. 1992. V. 60. P. 259–268.