Optimally sparse image representation by the easy path wavelet transform

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Autor/in:
Erscheinungsjahr:
2012
Medientyp:
Text
Schlagworte:
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
Beschreibung:
  • The Easy Path Wavelet Transform (EPWT), 20 has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particular from image data. The EPWT is a locally adaptive wavelet transform. It works along pathways through the array of function values and it exploits the local correlations of the given data in a simple appropriate manner. In this paper, we show that the EPWT leads, for a suitable choice of the pathways, to optimal N-term approximations for piecewise Hölder continuous functions with singularities along curves. © 2012 World Scientific Publishing Company.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH
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Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/35b0fcbe-961f-40ff-9709-d4812671401a