
Proceedings Paper
Sparse multidimensional representation using shearletsFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 5914:
Wavelets XI
Manos Papadakis; Andrew F. Laine; Michael A. Unser, Editor(s)
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)
Wang-Q. Lim, 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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