• Acta Optica Sinica
  • Vol. 40, Issue 14, 1411005 (2020)
Jingjing Yang1、2、3、***, Shuai Wang1、2、**, Lianghua Wen1、2、4, Ping Yang1、2, Wei Yang1、2, Chunlin Guan1、2, and Bing Xu1、2、*
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4School of Physics and Electronic Engineering, Yibin University, Yibin, Sichuan 644600, China
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    DOI: 10.3788/AOS202040.1411005 Cite this Article Set citation alerts
    Jingjing Yang, Shuai Wang, Lianghua Wen, Ping Yang, Wei Yang, Chunlin Guan, Bing Xu. Faint-Object Imaging of Diffractive Telescopes Based on Image Restoration[J]. Acta Optica Sinica, 2020, 40(14): 1411005 Copy Citation Text show less
    References

    [1] Atcheson P, Domber J, Whiteaker K et al. MOIRE: ground demonstration of a large aperture diffractive transmissive telescope[J]. Proceedings of SPIE, 9143, 91431W(2014).

    [2] O'Shea D C. Suleski T J, Kathman A D, et al. Diffractive optics: design, fabrication, and test[M]. Washington: SPIE, 57-75(2003).

    [3] Hyde R, Dixit S, Weisberg A et al. Eyeglass: a very large aperture diffractive space telescope[J]. Proceedings of SPIE, 4849, 28-39(2002).

    [4] Yang J J, Wang S, Wen L H et al. Experimental study on imaging and image deconvolution of a diffractive telescope system[J]. Applied Optics, 58, 9059-9068(2019).

    [5] Wang S, Liu Z W, Dong W S et al. Total variation based image deblurring with nonlocal self-similarity constraint[J]. Electronics Letters, 47, 916-918(2011).

    [6] Qiao K, Zhi X Y, Jiang S K et al. Image inversion and quality enhancement for space large aperture diffractive imaging system[J]. Optics and Precision Engineering, 27, 1465-1472(2019).

    [7] Dong W S, Zhang L, Shi G M et al. Nonlocally centralized sparse representation for image restoration[J]. IEEE Transactions on Image Processing, 22, 1620-1630(2013).

    [8] Javaran T A, Hassanpour H, Abolghasemi V. Non-blind image deconvolution using a regularization based on re-blurring process[J]. Computer Vision and Image Understanding, 154, 16-34(2017).

    [9] Plotz T, Roth S. Benchmarking denoising algorithms with real photographs. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2750-2759(2017).

    [10] Son H, Lee S. Fast non-blind deconvolution via regularized residual networks with long/short skip-connections. [C]∥2017 IEEE International Conference on Computational Photography (ICCP), May 12-14, 2017, Stanford, CA, USA. New York: IEEE(2017).

    [11] Haus J. Optical sensors: basics and applications[M]. Weinheim: Wiley-VCH, 33-37(2010).

    [12] Dabov K, Foi A, Katkovnik V et al. Image denoising by sparse 3-D transform-domain collaborative filtering[J]. IEEE Transactions on Image Processing, 16, 2080-2095(2007).

    [13] Immerkær J. Fast noise variance estimation[J]. Computer Vision and Image Understanding, 64, 300-302(1996).

    [14] Meer P, Jolion J M, Rosenfeld A. A fast parallel algorithm for blind estimation of noise variance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 216-223(1990).

    [15] Chen G Y, Zhu F Y, Heng P A. An efficient statistical method for image noise level estimation. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 477-485(2015).

    [16] Pyatykh S, Hesser J, Zheng L. Image noise level estimation by principal component analysis[J]. IEEE Transactions on Image Processing, 22, 687-699(2013).

    [17] British Standards Institution. Photography: electronic still picture imaging: resolution and spatial frequency responses: BS ISO 12233: 2017[S]. Switzerland: BSI Standards(2017).

    [18] Xia Y T, Chen Z Z. Quality assessment for remote sensing images: approaches and applications. [C]∥2015 IEEE International Conference on Systems, Man, and Cybernetics, October 9-12, 2015, Kowloon Tong, Hong Kong, China. New York: IEEE, 1029-1034(2015).

    [19] Wang Z, Bovik A C. A universal image quality index[J]. IEEE Signal Processing Letters, 9, 81-84(2002).

    [20] Young S S, Driggers R G, Jacobs E L. Signal processing and performance analysis for imaging systems[M]. London: Artech House, 41-61(2008).

    Jingjing Yang, Shuai Wang, Lianghua Wen, Ping Yang, Wei Yang, Chunlin Guan, Bing Xu. Faint-Object Imaging of Diffractive Telescopes Based on Image Restoration[J]. Acta Optica Sinica, 2020, 40(14): 1411005
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