• DocumentCode
    976444
  • Title

    Demosaicing of Color Filter Array Captured Images Using Gradient Edge Detection Masks and Adaptive Heterogeneity-Projection

  • Author

    Chung, Kuo-Liang ; Yang, Wei-Jen ; Yan, Wen-Ming ; Wang, Chung-Chou

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • Volume
    17
  • Issue
    12
  • fYear
    2008
  • Firstpage
    2356
  • Lastpage
    2367
  • Abstract
    Without demosaicing processing, this paper first proposes a new approach to extract more accurate gradient/edge information on mosaic images directly. Next, based on spectral-spatial correlation, a novel adaptive heterogeneity-projection with proper mask size for each pixel is presented. Combining the extracted gradient/edge information and the adaptive heterogeneity-projection values, a new edge-sensing demosaicing algorithm is presented. Based on 24 popular testing images, experimental results demonstrated that our proposed high-quality demosaicing algorithm has the best image quality performance when compared with several recently published algorithms.
  • Keywords
    correlation methods; edge detection; gradient methods; image colour analysis; image segmentation; adaptive heterogeneity-projection; color filter array captured images; gradient edge detection masks; high-quality demosaicing algorithm; image quality; spectral-spatial correlation; Adaptive arrays; Adaptive filters; Color; Data mining; Digital cameras; Image edge detection; Image sensors; Interpolation; Iterative algorithms; Pixel; Adaptive heterogeneity projection; color filter array (CFA); color peak signal-to-noise ratio (CPSNR); demosaicing algorithm; digital cameras; luminance estimation; mosaic images; sobel operator; Algorithms; Artificial Intelligence; Color; Colorimetry; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.2005561
  • Filename
    4665336