• DocumentCode
    3272880
  • Title

    Edge curve scaling and smoothing with cubic spline interpolation

  • Author

    Wei-Chen Wu ; Tsun-Hsien Wang ; Ching-Te Chiu

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    859
  • Lastpage
    862
  • Abstract
    Image scaling is a widely used method for many applications and numerous approaches have been proposed to this issue. Current approaches that bring promising results while the edge curves of the scaled up image still have blurring effect. This paper focuses on the edge curve of an image. We propose a simple method for edge curve scaling to avoid the disconnect and zigzag problems when using cubic spline interpolation. The scaling results of our method can avoid blurring of the edge curve and maintain the edge contour of an input image.
  • Keywords
    edge detection; interpolation; splines (mathematics); blurring effect; cubic spline interpolation; disconnect problems; edge contour; edge curve scaling; edge curve smoothing; image scaling; zigzag problems; Educational institutions; Image edge detection; Image resolution; Interpolation; Shape; Smoothing methods; Splines (mathematics); Image scaling; spine smoothing; spline interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738177
  • Filename
    6738177