• DocumentCode
    2031185
  • Title

    Demosaicing Based Onwavelet Analysis of the Luminance Component

  • Author

    Menon, Daniele ; Calvagno, Giancarlo

  • Author_Institution
    Padova Univ., Padova
  • Volume
    2
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Most color digital cameras apply a color filter array to capture the scene, requiring an interpolation of the subsampled color components to obtain the full resolution image. Therefore, if reconstruction is not performed correctly, noticeable artifacts are produced, which result more evident in the detailed parts of the image. In this paper we propose a demosaicing algorithm based on directional filtering that uses a novel approach to locate the details of the image. To this purpose, edge-estimation is performed on the luminance component of the image in order to give a more reliable information, and the properties of the wavelet transform are used to estimate the edge directions. Experimental results proved the effectiveness of this approach, giving high performance in PSNR, and good estimates of image details too.
  • Keywords
    brightness; edge detection; filtering theory; image colour analysis; image reconstruction; image resolution; wavelet transforms; color digital cameras; directional filtering; edge estimation; image demosaicing; image reconstruction; image resolution; luminance component; subsampled color components; wavelet transform; Data mining; Digital cameras; Digital filters; Image analysis; Image color analysis; Image reconstruction; Interpolation; Layout; Wavelet analysis; Wavelet transforms; Image reconstruction; image edge analysis; interpolation; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379122
  • Filename
    4379122