• DocumentCode
    960280
  • Title

    Linear interpolation revitalized

  • Author

    Blu, Thierry ; Thévenaz, Philippe ; Unser, Michael

  • Author_Institution
    Biomed. Imaging Group FSTI/IOA, Swiss Fed. Inst. of Technol. Lausanne, Switzerland
  • Volume
    13
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    710
  • Lastpage
    719
  • Abstract
    We present a simple, original method to improve piecewise-linear interpolation with uniform knots: we shift the sampling knots by a fixed amount, while enforcing the interpolation property. We determine the theoretical optimal shift that maximizes the quality of our shifted linear interpolation. Surprisingly enough, this optimal value is nonzero and close to 1/5. We confirm our theoretical findings by performing several experiments: a cumulative rotation experiment and a zoom experiment. Both show a significant increase of the quality of the shifted method with respect to the standard one. We also observe that, in these results, we get a quality that is similar to that of the computationally more costly "high-quality" cubic convolution.
  • Keywords
    approximation theory; error analysis; image sampling; interpolation; optimisation; piecewise linear techniques; recursive filters; splines (mathematics); approximation methods; cubic convolution; cumulative rotation experiment; error analysis; linear interpolation revitalized; piecewise-linear interpolation; recursive digital filters; shifted linear interpolation; spline functions; theoretical optimal shift; Computational efficiency; Convolution; Digital filters; Error analysis; Interpolation; Kernel; Piecewise linear approximation; Piecewise linear techniques; Sampling methods; Spline; Algorithms; Feedback; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Linear Models; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.826093
  • Filename
    1288196