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Home All issues Volume 652 (August 2021) A&A, 652 (2021) A50 References
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Issue
A&A
Volume 652, August 2021
Article Number A50
Number of page(s) 14
Section Astronomical instrumentation
DOI https://doi.org/10.1051/0004-6361/202140376
Published online 10 August 2021
  1. Al, N., Bendlin, C., Hirzberger, J., Kneer, F., & Bueno, J. T. 2004, A&A, 418, 1131 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Armstrong, J. A., & Fletcher, L. 2021, MNRAS, 501, 2647 [CrossRef] [Google Scholar]
  3. Asensio Ramos, A., & Olspert, N. 2021, A&A, 646, A100 [CrossRef] [EDP Sciences] [Google Scholar]
  4. Asensio Ramos, A., Requerey, I., & Vitas, N. 2017, A&A, 604, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Asensio Ramos, A., de la Cruz Rodríguez, J., & Yabar, A. P. 2018, A&A, 620, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Ayers, G., & Dainty, J. C. 1988, Opt. Lett., 13, 547 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  7. Babcock, H. W. 1953, PASP, 65, 229 [NASA ADS] [CrossRef] [Google Scholar]
  8. Berger, T. E., Loéfdahl, M. G., Shine, R. S., et al. 1998, ApJ, 495, 973 [NASA ADS] [CrossRef] [Google Scholar]
  9. Campisi, P., & Egiazarian, K. 2017, Blind Image Deconvolution: Theory and Applications (Boca Raton: CRC Press) [CrossRef] [Google Scholar]
  10. Chan, T. F., & Wong, C.-K. 1998, IEEE Trans. Image Process., 7, 370 [CrossRef] [Google Scholar]
  11. De Boer, C., Kneer, F., & Nesis, A. 1992, A&A, 257, L4 [Google Scholar]
  12. Denker, C., Yang, G., & Wang, H. 2001, Sol. Phys., 202, 63 [NASA ADS] [CrossRef] [Google Scholar]
  13. Denker, C., Mascarinas, D., Xu, Y., et al. 2005, Sol. Phys., 227, 217 [NASA ADS] [CrossRef] [Google Scholar]
  14. Diaz Baso, C. J., & Asensio Ramos, A. 2018, A&A, 614, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Diaz Baso, C. J., de la Cruz Rodriguez, J., & Danilovic, S. 2019, A&A, 629, A99 [CrossRef] [EDP Sciences] [Google Scholar]
  16. Ellerbroek, B., Britton, M., Dekany, R., et al. 2005, Int. Soc. Opt. Photon., 5903, 590304 [Google Scholar]
  17. Gonsalves, R. A. 1982, Opt. Eng., 21, 215829 [NASA ADS] [CrossRef] [Google Scholar]
  18. Gravet, R., Cabrera-Vives, G., Pérez-González, P. G., et al. 2015, ApJS, 221, 8 [NASA ADS] [CrossRef] [Google Scholar]
  19. He, K., Zhang, X., Ren, S., & Sun, J. 2015, Proceedings of the IEEE International Conference on Computer Vision, 1026 [Google Scholar]
  20. He, K., Zhang, X., Ren, S., & Sun, J. 2016, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770 [Google Scholar]
  21. Holmes, T. J. 1992, J. Opt. Soc. Am. A, 9, 1052 [NASA ADS] [CrossRef] [Google Scholar]
  22. Janßen, K., Vögler, A., & Kneer, F. 2003, A&A, 409, 1127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Jia, X., De Brabandere, B., Tuytelaars, T., & Gool, L. V. 2016, Adv. Neural Inf. Process. Syst., 29, 667 [Google Scholar]
  24. Jiang, W., Huang, S., Ling, N., & Wu, X. 1989, Int. Soc. Opt. Photon., 965, 266 [Google Scholar]
  25. Johns, M., McCarthy, P., Raybould, K., et al. 2012, Int. Soc. Opt. Photon., 8444, 84441H [Google Scholar]
  26. Johnson, J., Alahi, A., & Fei-Fei, L. 2016, European Conference on Computer Vision (Springer), 694 [Google Scholar]
  27. Keller, C., & Von Der Luehe, O. 1992, A&A, 261, 321 [Google Scholar]
  28. Kingma, P. D., & Ba, L. J. 2015, International Conference on Learning Representations, ICLR 2015, San Diego [Google Scholar]
  29. Kong, L., Zhang, L., Zhu, L., et al. 2016, Chin. Opt. Lett., 14, 100102 [CrossRef] [Google Scholar]
  30. Kong, L., Zhu, L., Zhang, L., Bao, H., & Rao, C. 2017, IEEE Photon. J., 9, 1 [Google Scholar]
  31. Krishnan, D., Tay, T., & Fergus, R. 2011, Blind Deconvolution Using a Normalized Sparsity Measure, CVPR 2011 (IEEE), 233 [Google Scholar]
  32. Lane, R. G. 1992, J. Opt. Soc. Am. A, 9, 1508 [NASA ADS] [CrossRef] [Google Scholar]
  33. Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. 2011, Efficient Marginal Likelihood Optimization in Blind Deconvolution, CVPR 2011 (IEEE), 2657 [Google Scholar]
  34. Liang, J., Williams, D. R., & Miller, D. T. 1997, J. Opt. Soc. Am. A, 14, 2884 [CrossRef] [Google Scholar]
  35. Löfdahl, M. G. 2002, Int. Soc. Opt. Photon., 4792, 146 [Google Scholar]
  36. Löfdahl, M. G., & Scharmer, G. 1994, A&AS, 107, 243 [Google Scholar]
  37. Löfdahl, M., Kiselman, D., & Scharmer, G. 2004, A&A, 414, 717 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Maas, A. L., Hannun, A. Y., & Ng, A. Y. 2013, Proc. ICML, 30, 3 [Google Scholar]
  39. Mao, X. J., Shen, C., & Yang, Y. B. 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016), 2810 [Google Scholar]
  40. Mildenhall, B., Barron, J. T., Chen, J., et al. 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2502 [Google Scholar]
  41. Molina, R., Mateos, J., & Katsaggelos, A. K. 2006, IEEE Trans. Image Process., 15, 3715 [NASA ADS] [CrossRef] [Google Scholar]
  42. Paszke, A., Gross, S., Massa, F., et al. 2019, Advances in Neural Information Processing Systems, 8026 [Google Scholar]
  43. Paxman, R. G., Schulz, T. J., & Fienup, J. R. 1992, J. Opt. Soc. Am. A, 9, 1072 [NASA ADS] [CrossRef] [Google Scholar]
  44. Perrone, D., & Favaro, P. 2014, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2909 [Google Scholar]
  45. Rao, C.-H., Jiang, W.-H., Fang, C., et al. 2003, Chin. J. Astron. Astrophys., 3, 576 [CrossRef] [Google Scholar]
  46. Rao, C., Zhu, L., Rao, X., et al. 2015, Chin. Opt. Lett., 13, 120101 [CrossRef] [Google Scholar]
  47. Rao, C., Zhu, L., Rao, X., et al. 2016, ApJ, 833, 210 [CrossRef] [Google Scholar]
  48. Rao, C., Gu, N., Rao, X., et al. 2020, First Light of the 1.8-m Solar Telescope–CLST (Springer) [Google Scholar]
  49. Rimmele, T. R. 2000, Int. Soc. Opt. Photon., 4007, 218 [Google Scholar]
  50. Roorda, A., & Williams, D. R. 1999, Nature, 397, 520 [CrossRef] [Google Scholar]
  51. Rousset, G., Fontanella, J., Kern, P., Gigan, P., & Rigaut, F. 1990, A&A, 230, L29 [Google Scholar]
  52. Scharmer, G. B., Shand, M., Lofdahl, M. G., Dettori, P. M., & Wei, W. 2000, Int. Soc. Opt. Photon., 4007, 239 [Google Scholar]
  53. Scharmer, G. B., Gudiksen, B. V., Kiselman, D., Löfdahl, M. G., & van der Voort, L. H. R. 2002, Nature, 420, 151 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  54. Schulz, T. J. 1993, J. Opt. Soc. Am. A, 10, 1064 [NASA ADS] [CrossRef] [Google Scholar]
  55. Sidky, E. Y., & Pan, X. 2008, Phys. Med. Biol., 53, 4777 [CrossRef] [PubMed] [Google Scholar]
  56. Sütterlin, P., Rubio, L. B., & Schlichenmaier, R. 2004, A&A, 424, 1049 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Thiébaut, E., & Conan, J.-M. 1995, J. Opt. Soc. Am. A, 12, 485 [NASA ADS] [CrossRef] [Google Scholar]
  58. Tritschler, A., & Schmidt, W. 2002, A&A, 388, 1048 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Tsumuraya, F., Miura, N., & Baba, N. 1994, A&A, 282, 699 [NASA ADS] [Google Scholar]
  60. Van Noort, M., Van Der Voort, L. R., & Löfdahl, M. G. 2005, Sol. Phys., 228, 191 [NASA ADS] [CrossRef] [Google Scholar]
  61. Von der Luehe, O. 1994, A&A, 281, 889 [Google Scholar]
  62. Von der Lühe, O. 1993, A&A, 268, 374 [Google Scholar]
  63. Wenhan, J., Yudong, Z., Changhui, R., et al. 2011, Acta Opt. Sin., 31, 0900106 [CrossRef] [Google Scholar]
  64. Xiao, F., Zhao, J., Zhao, H., Dai, Y., & Zhang, Y. 2017, Biomed. Opt. Exp., 8, 5675 [CrossRef] [Google Scholar]
  65. Yu, T., Chang-hui, R., & Kai, W. 2009, Chin. Astron. Astrophys., 33, 223 [CrossRef] [Google Scholar]
  66. Zhang, P., Yang, C., Xu, Z., et al. 2017, Sci. Rep., 7, 1 [CrossRef] [Google Scholar]
  67. Zhong, L., Tian, Y., & Rao, C. 2014, Opt. Exp., 22, 29249 [NASA ADS] [CrossRef] [Google Scholar]
  68. Zhou, S., Zhang, J., Pan, J., et al. 2019, Proceedings of the IEEE International Conference on Computer Vision, 2482 [Google Scholar]

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