Paper
4 September 2009 Development of a digital shearlet transform based on Pseudo-Polar FFT
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Abstract
Shearlab is a Matlab toolbox for digital shearlet transformation of two-D (image) data we developed following a rational design process. The Pseudo-Polar FFT fits very naturally with the continuum theory of the Shearlet transform and allows us to translate Shearlet ideas naturally into a digital framework. However, there are still windows and weights which must be chosen. We developed more than a dozen performance measures quantifying precision of the reconstruction, tightness of the frame, directional and spatial localization and other properties. Such quantitative performance metrics allow us to: (a) tune parameters and objectively improve our implementation; and (b) compare different directional transform implementations. We present and interpret the most important performance measures for our current implementation.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gitta Kutyniok, Morteza Shahram, and David L. Donoho "Development of a digital shearlet transform based on Pseudo-Polar FFT", Proc. SPIE 7446, Wavelets XIII, 74460B (4 September 2009); https://doi.org/10.1117/12.825656
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CITATIONS
Cited by 28 scholarly publications.
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KEYWORDS
Fourier transforms

Image processing

Digital image processing

Wavelets

Monte Carlo methods

Image compression

Mathematics

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