Acta Optica Sinica, Volume. 38, Issue 2, 0210001(2018)

Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint

Chang Su1,2、*, Tianjiao Fu1, Xingxiang Zhang1, Jianyue Ren1, and Longxu Jin1
Author Affiliations
  • 1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2 College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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    References(16)

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    [10] Xie S H, Zhang Q H, Su D. The improved image restoration algorithm based on APEX method[J]. Laser & Infrared, 37, 185-188(2007).

    [11] Sun L, Zhang Y, Xu Q et al. The improved APEX method applied in image enhancement[J]. Journal of Zhengzhou Institute of Surveying and Mapping, 24, 51-53(2007).

    [12] Wang H, Wu Q Z. Real-time blind image restoration method based on multi-region parameters estimate[J]. Opto-Electronic Engineering, 39, 130-136(2012).

    [15] Carasso A S. Image restoration and diffusion processes[C]. SPIE, 2035, 255-266(1993).

    CLP Journals

    [1] Can Wang, Fan Yang, Jing Li. Blind Recovery Method of Motion Blurred Image Based on Combining l1/l2 Norm with High Order and Low Order Total Variation[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041015

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    Chang Su, Tianjiao Fu, Xingxiang Zhang, Jianyue Ren, Longxu Jin. Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint[J]. Acta Optica Sinica, 2018, 38(2): 0210001

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    Paper Information

    Category: Image Processing

    Received: Jul. 23, 2017

    Accepted: --

    Published Online: Aug. 30, 2018

    The Author Email: Su Chang (suchang906@163.com)

    DOI:10.3788/AOS201838.0210001

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