• DocumentCode
    2713617
  • Title

    An analysis of color demosaicing in plenoptic cameras

  • Author

    Yu, Zhan ; Yu, Jingyi ; Lumsdaine, Andrew ; Georgiev, Todor

  • Author_Institution
    Univ. of Delaware, Newark, DE, USA
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    901
  • Lastpage
    908
  • Abstract
    A plenoptic camera captures the 4D radiance about a scene. Recent practical solutions mount a microlens array on top of a commodity SLR to directly acquire these rays. However, they suffer from low resolution as hundreds of thousands of views need to be captured in a single shot. In this paper, we develop a simple but effective technique for improving the image resolution of the plenoptic camera by maneuvering the demosaicing process. We first show that the traditional solution by demosaicing each individual microlens image and then blending them for view synthesis is suboptimal. In particular, this demosaicing process often suffers from aliasing artifacts, and it damages high frequency information recorded by each microlens image hence degrades the image quality. We instead propose to de-mosaic the synthesized view at the rendering stage. Specifically, we first transform the radiance to the desired focal plane and then apply frequency domain plenoptic resampling. A full resolution color filtered image is then created by performing a 2D integral projection from the reparam-eterized radiance. Finally, we conduct demosacing to obtain the color result. We show that our solution can achieve visible resolution enhancement on dynamic refocusing and depth-assisted deep focus rendering.
  • Keywords
    image colour analysis; image resolution; image segmentation; microlenses; rendering (computer graphics); 4D radiance; color demosaicing; color filtered image; commodity SLR; frequency domain plenoptic resampling; image quality; image resolution; microlens array; microlens image; plenoptic cameras; rendering; reparameterized radiance; Arrays; Cameras; Image color analysis; Image resolution; Lenses; Microoptics; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247764
  • Filename
    6247764