• DocumentCode
    726833
  • Title

    High Resolution Photography with an RGB-Infrared Camera

  • Author

    Huixuan Tang ; Xiaopeng Zhang ; Shaojie Zhuo ; Feng Chen ; Kutulakos, Kiriakos N. ; Liang Shen

  • Author_Institution
    Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A convenient solution to RGB-Infrared photography is to extend the basic RGB mosaic with a fourth filter type with high transmittance in the near-infrared band. Unfortunately, applying conventional demosaicing algorithms to RGB-IR sensors is not possible for two reasons. First, the RGB and near-infrared image are differently focused due to different refractive indices of each band. Second, manufacturing constraints introduce crosstalk between RGB and IR channels. In this paper we propose a novel image formation model for RGB-IR cameras that can be easily calibrated, and propose an efficient algorithm that jointly addresses three restoration problems - channel deblurring, channel separation and pixel demosaicing - using quadratic image regularizers. We also extend our algorithm to handle more general regularizers and pixel saturation. Experiments show that our method produces sharp, full-resolution images of pure RGB color and IR.
  • Keywords
    colour photography; image colour analysis; image resolution; image restoration; image segmentation; infrared imaging; RGB-IR camera; RGB-infrared camera; RGB-infrared photography; channel deblurring; channel separation; high resolution photography; image formation model; pixel demosaicing; quadratic image regularizer; restoration problem; Cameras; Crosstalk; Image color analysis; Image restoration; Kernel; Lenses; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Photography (ICCP), 2015 IEEE International Conference on
  • Conference_Location
    Houston,TX
  • Type

    conf

  • DOI
    10.1109/ICCPHOT.2015.7168367
  • Filename
    7168367