• DocumentCode
    745202
  • Title

    Linear demosaicing inspired by the human visual system

  • Author

    Alleysson, David ; Süsstrunk, Sabine ; Hérault, Jeanny

  • Author_Institution
    Ecole Polytechnique Fed. de Lausanne, Lab. for AudioVisual Commun., Lausanne, Switzerland
  • Volume
    14
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    439
  • Lastpage
    449
  • Abstract
    There is an analogy between single-chip color cameras and the human visual system in that these two systems acquire only one limited wavelength sensitivity band per spatial location. We have exploited this analogy, defining a model that characterizes a one-color per spatial position image as a coding into luminance and chrominance of the corresponding three colors per spatial position image. Luminance is defined with full spatial resolution while chrominance contains subsampled opponent colors. Moreover, luminance and chrominance follow a particular arrangement in the Fourier domain, allowing for demosaicing by spatial frequency filtering. This model shows that visual artifacts after demosaicing are due to aliasing between luminance and chrominance and could be solved using a preprocessing filter. This approach also gives new insights for the representation of single-color per spatial location images and enables formal and controllable procedures to design demosaicing algorithms that perform well compared to concurrent approaches, as demonstrated by experiments.
  • Keywords
    Fourier analysis; brightness; cameras; filtering theory; image coding; image colour analysis; image representation; image resolution; image segmentation; Fourier domain; human visual system; limited wavelength sensitivity band; linear demosaicing; preprocessing filter; single-chip color camera; spatial frequency filtering; spatial position image; Cameras; Color; Humans; Image reconstruction; Laboratories; Lattices; Nonlinear filters; Retina; Sensor arrays; Visual system; Color; Fourier analysis; demosaicing; linear filtering; Algorithms; Artificial Intelligence; Biomimetics; Color; Colorimetry; Computer Graphics; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Vision;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.841200
  • Filename
    1407973