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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.