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Proceedings Paper

Geometrical image compression with bandelets
Author(s): Erwan Le Pennec; Stephane G. Mallat
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Paper Abstract

This paper introduces a new class of bases, called bandelet bases, which decompose the image along vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet basis.

Paper Details

Date Published: 23 June 2003
PDF: 14 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.509904
Show Author Affiliations
Erwan Le Pennec, Ecole Polytechnique-CNRS, CMAP (France)
Stephane G. Mallat, Ecole Polytechnique-CNRS, CMAP (France)
New York Univ. (United States)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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