Paper
27 September 2011 Coarse quantization with the fast digital shearlet transform
Author Affiliations +
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.
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Bernhard G. Bodmann, Gitta Kutyniok, and Xiaosheng Zhuang "Coarse quantization with the fast digital shearlet transform", Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380Z (27 September 2011); https://doi.org/10.1117/12.892720
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Cited by 1 scholarly publication.
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KEYWORDS
Quantization

Fourier transforms

Matrices

Computer programming

Wavelets

Fractional fourier transform

Reconstruction algorithms

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