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Proceedings Paper

Coarse quantization with the fast digital shearlet transform
Author(s): Bernhard G. Bodmann; Gitta Kutyniok; Xiaosheng Zhuang
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Paper Abstract

The fast digital shearlet transform (FDST) was recently introduced as a means to analyze natural images efficiently, owing to the fact that those are typically governed by cartoon-like structures. In this paper, we introduce and discuss a first-order hybrid sigma-delta quantization algorithm for coarsely quantizing the shearlet coefficients generated by the FDST. Radial oversampling in the frequency domain together with our choice for the quantization helps suppress the reconstruction error in a similar way as first-order sigma-delta quantization for finite frames. We provide a theoretical bound for the reconstruction error and confirm numerically that the error is in accordance with this theoretical decay.

Paper Details

Date Published: 27 September 2011
PDF: 10 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380Z (27 September 2011); doi: 10.1117/12.892720
Show Author Affiliations
Bernhard G. Bodmann, Univ. of Houston (United States)
Gitta Kutyniok, Univ. Osnabrück (Germany)
Xiaosheng Zhuang, Univ. Osnabrück (Germany)


Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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