Sparse approximation of videos by adaptive linear splines over anisotropic tetrahedralizations

Link:
Autor/in:
Verlag/Körperschaft:
IEEE
Erscheinungsjahr:
2017
Medientyp:
Text
Schlagworte:
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
Beschreibung:
  • We discuss theoretical aspects of sparse representations for videos by linear splines over anisotropic tetrahedralizations. In previous work, we have proposed a locally adaptive algorithm, adaptive thinning, for sparse approximation of images. Moreover, we have analyzed the asymptotic behaviour of N-term image approximations by linear splines over anisotropic Delaunay triangulations. In this paper, we generalize our previous results from image approximation to video approximation, i.e., from the approximation of bivariate to trivariate target functions.
Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH

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Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/d0ad6c0e-dbf9-45ee-b526-8738f32e8702