Acta Optica Sinica, Volume. 38, Issue 7, 0710002(2018)

Fast Elemental Image Array Generation Based on Window Interception

Wei Wu1,2, Shigang Wang1、*, Yan Zhao1, and Cheng Zhong3
Author Affiliations
  • 1 College of Communication Engineering, Jilin University, Changchun, Jilin 130012, China
  • 2 School of Computer Science & Engineering, Changchun University of Technology, Changchun, Jilin 130012, China;
  • 3 School of Public Administration (School of Humanities), Changchun University of Technology, Changchun, Jilin 130012, China
  • show less

    Integral imaging needs to record the spatial information of three-dimensional (3D) objects from different perspectives, therefore the computation is large and cost a long time by computer-generated method. To solve this problem, we present a fast elemental image array generation method by using window interception. The sampling model is established by simulating the structure of the lenslet array, and the elemental images of the virtual 3D object, corresponding to each virtual lens, are calculated based on optics parameters of the display platform. Then, the window interception is used to generate the elemental image array. The elemental image array with any aperture and any arranging structure can be generated by changing the sampling points and the window function. We build an integral imaging display platform based on LED and design the lenslet arrays with the shape of square, hexagonal and circular aperture. Different 3D models are used to compare the processing time and display effect. Experimental results show that without reducing the 3D image quality, the proposed method is faster when the resolution of elemental image is higher than the sampling rate of the lenslet array.

    Tools

    Get Citation

    Copy Citation Text

    Wei Wu, Shigang Wang, Yan Zhao, Cheng Zhong. Fast Elemental Image Array Generation Based on Window Interception[J]. Acta Optica Sinica, 2018, 38(7): 0710002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Feb. 5, 2018

    Accepted: --

    Published Online: Sep. 5, 2018

    The Author Email: Wang Shigang (<email>wangshigang@vip.sin</email>)

    DOI:10.3788/AOS201838.0710002

    Topics