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Proceedings Paper

On the use of the Stockwell transform for image compression
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Paper Abstract

In this paper, we investigate the use of the Stockwell Transform for image compression. The proposed technique uses the Discrete Orthogonal Stockwell Transform (DOST), an orthogonal version of the Discrete Stockwell Transform (DST). These mathematical transforms provide a multiresolution spatial-frequency representation of a signal or image. First, we give a brief introduction for the Stockwell transform and the DOST. Then we outline a simplistic compression method based on setting the smallest coefficients to zero. In an experiment, we use this compression strategy on three different transforms: the Fast Fourier transform, the Daubechies wavelet transform and the DOST. The results show that the DOST outperforms the two other methods.

Paper Details

Date Published: 11 February 2009
PDF: 7 pages
Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 724504 (11 February 2009); doi: 10.1117/12.806005
Show Author Affiliations
Yanwei Wang, Univ. of Waterloo (Canada)
Jeff Orchard, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 7245:
Image Processing: Algorithms and Systems VII
Nasser M. Nasrabadi; Syed A. Rizvi; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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