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Proceedings Paper

Sparse multidimensional representation using shearlets
Author(s): Demetrio Labate; Wang-Q. Lim; Gitta Kutyniok; Guido Weiss
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Paper Abstract

In this paper we describe a new class of multidimensional representation systems, called shearlets. They are obtained by applying the actions of dilation, shear transformation and translation to a fixed function, and exhibit the geometric and mathematical properties, e.g., directionality, elongated shapes, scales, oscillations, recently advocated by many authors for sparse image processing applications. These systems can be studied within the framework of a generalized multiresolution analysis. This approach leads to a recursive algorithm for the implementation of these systems, that generalizes the classical cascade algorithm.

Paper Details

Date Published: 17 September 2005
PDF: 9 pages
Proc. SPIE 5914, Wavelets XI, 59140U (17 September 2005); doi: 10.1117/12.613494
Show Author Affiliations
Demetrio Labate, North Carolina State Univ. (United States)
Wang-Q. Lim, Washington Univ. (United States)
Gitta Kutyniok, Justus-Liebig-Univ. Giessen (Germany)
Guido Weiss, Washington Univ. (United States)

Published in SPIE Proceedings Vol. 5914:
Wavelets XI
Manos Papadakis; Andrew F. Laine; Michael A. Unser, Editor(s)

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