• DocumentCode
    2761317
  • Title

    Demosaicing According to Edge Information Based on Frequency Band Partition

  • Author

    Iwamnura, Shunsuke ; Ikehara, Masaaki ; Ikenaga, Kenichi

  • Author_Institution
    Dept. of EEE, Keio Univ, Yokohama
  • fYear
    2009
  • fDate
    4-7 Jan. 2009
  • Firstpage
    544
  • Lastpage
    547
  • Abstract
    In this paper, we propose a new demosaicing method that interpolates RAW images in a Bayer pattern. We firstly apply a wavelet transform to a rotated G-channel of Bayer pattern. Then, according to the high frequency energy, Sobel operator and 2D FFT (fast Fourier transform) are performed parallelly as edge-classifiers. Missing samples are interpolated along the estimated edge direction. In both subjective and objective evaluations, the proposed demosaicing algorithm show better results than those of conventional methods.
  • Keywords
    edge detection; fast Fourier transforms; image segmentation; wavelet transforms; Bayer pattern; RAW image interpolation; Sobel operator; edge information; fast fourier transform; frequency band partition; image demosaicing; rotated G-channel; wavelet transform; CMOS image sensors; Charge-coupled image sensors; Color; Fast Fourier transforms; Frequency; Image edge detection; Image reconstruction; Interpolation; Sensor arrays; Wavelet transforms; Bayer array; Demosaicing; FFT; Sobel operator; frequency band partition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
  • Conference_Location
    Marco Island, FL
  • Print_ISBN
    978-1-4244-3677-4
  • Electronic_ISBN
    978-1-4244-3677-4
  • Type

    conf

  • DOI
    10.1109/DSP.2009.4785983
  • Filename
    4785983