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.