<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<item>
  <id>06107052</id>
  <dt>j</dt>
  <an>06107052</an>
  <augroup>
    <au>Amat, S.</au>
    <au>Ruiz, J.</au>
    <au>Trillo, J.C.</au>
  </augroup>
  <ti>Adaptive interpolation of images using a new nonlinear cell-average scheme.</ti>
  <so>Math. Comput. Simul. 82, No. 9, 1586-1596 (2012).</so>
  <py>2012</py>
  <pu>Elsevier Science B.V. (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>zoom</ut>
    <ut>subcell resolution</ut>
    <ut>image interpolation</ut>
    <ut>cell-average multiresolution</ut>
    <ut>nonlinear subdivision scheme</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.matcom.2012.03.006</li>
  </ligroup>
  <abgroup>
    <ab>Summary: We present a new method for image interpolation which combines a cell average version of the nonlinear interpolatory technique called PPH (Piecewise Polynomial Harmonic) and subcell resolution techniques. It is designed to perform more accurately at discontinuities, avoiding the evaluation of any extrapolation technique. Numerical experiments are shown validating the theoretical aspects of the algorithm.</ab>
    <rv></rv>
  </abgroup>
</item>