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

S. Amat, J. Liandrat, José Ruiz and J.C. Trillo

Mathematics and Computers in Simulation (MATCOM), 2015, vol. 118, issue C, 30-48

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.

Keywords: Cell-average multiresolution; Nonlinear subdivision schemes; p-power means; Compression; Denoising (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:118:y:2015:i:c:p:30-48

DOI: 10.1016/j.matcom.2015.01.002

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