• DocumentCode
    249793
  • Title

    Linear view/image restoration for dense light fields

  • Author

    Kodama, K. ; Kubota, A.

  • Author_Institution
    Res. Organ. of Inf. & Syst., Nat. Inst. of Inf., Tokyo, Japan
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5462
  • Lastpage
    5466
  • Abstract
    Scene refocusing and free viewpoint image reconstruction from a dense light field acquired by a massive camera array or a lens array are actively studied. However, it is difficult to directly integrate acquired information into a light field without defects. For example, actually, a massive camera array hardly works without failure of several cameras, and part of multi-view images are missing. On the other hand, because a lens array consists of very small lenses gathering only limited rays, acquired images themselves are often noisy. This paper proposes simple linear filters achieving view/image restoration to obtain a dense light field robustly in suppressing such defects without block matching used by the conventional approaches of view synthesis and denoising. Experimental results show that the proposed filters can be flexibly designed for various defects based on the relation between a 4D light field and the corresponding 3D multi-focus images.
  • Keywords
    filtering theory; image denoising; image restoration; block matching; camera array; dense light field; image reconstruction; image restoration; lens array; linear filters; multiview images; scene refocusing; Arrays; Cameras; Image reconstruction; Image restoration; Noise; Noise measurement; Robustness; Image reconstruction; focus; image restoration; light field; multi-view;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026105
  • Filename
    7026105