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Cited by 455

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Sparse multidimensional representation using shearlets

Labate, Demetrio, Lim, Wang-Q, Kutyniok, Gitta, Weiss, Guido·2005·SPIE Proceedings

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.

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Metadata

Authors
Labate, D., Lim, W.-Q., Kutyniok, G., & Weiss, G.
Venue
SPIE Proceedings
Publisher
SPIE
Published
2005-08-18
Volume
5914
Pages
59140U
ISSN
0277-786X (ISSN-L)
OpenAlex
W2073996439
Cited by
455
References
12
FWCI
14.59
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sparse multidimensional representation using shearlets. https://app.cochat.ai/papers/10.1117/12.613494
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Labate, D., Lim, W.-Q., Kutyniok, G., & Weiss, G. (2005). Sparse multidimensional representation using shearlets. SPIE Proceedings. https://doi.org/10.1117/12.613494

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.