• DocumentCode
    2299574
  • Title

    Enhanced B-Spline interpolation of images

  • Author

    Prades-Nebot, Josep ; Albiol, Antonio ; Bachiller, Carmen

  • Author_Institution
    Dept. de Comunicaciones, Univ. Politecnica de Valencia, Spain
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    289
  • Abstract
    Image interpolation arises in many applications as for example image resolution conversion, photograph zooming, image coding, etc. Although many interpolation methods exist, a lot of them decrease the sharpness of the original image. In this paper, we suggest a modification of a traditional interpolation method (B-Spline) which improves the sharpness of the resulting images with a small additional computational cost. The modification is based on the combination of conventional interpolation with an enhancement algorithm, which increases the sharpness of edges. The enhancement algorithm is based on a nonlinear partial differential equation and takes advantage of the properties of B-Spline functions
  • Keywords
    edge detection; image enhancement; image resolution; interpolation; nonlinear differential equations; partial differential equations; splines (mathematics); B-Spline interpolation; edge sharpness; enhancement algorithm; image interpolation; image sharpness improvement; nonlinear partial differential equation; Computational efficiency; Image coding; Image converters; Image processing; Image resolution; Image sampling; Interpolation; Partial differential equations; Signal sampling; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.727201
  • Filename
    727201