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On a family of nonlinear cell-average multiresolution schemes for image processing: An experimental study

Author

Listed:
  • Amat, S.
  • Liandrat, J.
  • Ruiz, J.
  • Trillo, J.C.

Abstract

This paper is devoted to a new family of nonlinear cell-average multiresolution schemes and its applications to image processing. The algorithms are based on nonlinear reconstruction operators with several desirable features: the reconstructions are third-order accurate in smooth regions, the data used is always centered with optimal support and they are adapted to the presence of discontinuities.

Suggested Citation

  • Amat, S. & Liandrat, J. & Ruiz, J. & Trillo, J.C., 2015. "On a family of nonlinear cell-average multiresolution schemes for image processing: An experimental study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 118(C), pages 30-48.
    • Handle: RePEc:eee:matcom:v:118:y:2015:i:c:p:30-48
    DOI: 10.1016/j.matcom.2015.01.002
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