• DocumentCode
    175929
  • Title

    Image resolution enhancement in digital holography

  • Author

    Shuqun Zhang ; Jianyang Zhou

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of New York, New York, NY, USA
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    942
  • Lastpage
    947
  • Abstract
    3D information processing based on digital holography has been suffered from the problems of low-resolution image sensor that could undersample holographic images and small size of image sensor that limits the achievable reconstruction resolution. The existing solutions to these problems employ iterative algorithms to enhance the resolution of holographic images and increase effective size of image sensor, which are computationally expensive. This paper proposes to use fast noniterative multiframe image reconstruction technique for increasing the spatial resolution of digital holograms by combining multiple shifted low-resolution holographic images. The proposed method enhances the resolution with low computational cost and improves the reconstruction performance. Image stitching is also proposed to increase the effective size of image sensor and enhance the achievable resolution during reconstruction. Simulation results are presented to demonstrate the effectiveness of the proposed methods.
  • Keywords
    holography; image enhancement; image reconstruction; image resolution; image sensors; 3D information processing; Image stitching; digital holography; fast noniterative multiframe image reconstruction technique; holographic images; image resolution enhancement; iterative algorithms; multiple shifted low-resolution holographic images; Holography; Image reconstruction; Image sensors; Iterative methods; Spatial resolution; Three-dimensional displays; image reconstruction; resolution enhancement; superresolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2014 10th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5150-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2014.6975966
  • Filename
    6975966