The discrete orthonormal Stockwell transform and variations, with applications to image compression

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Abstract

We examine the so-called Discrete Orthonormal Stockwell Transform (DOST) and show that a number of quite simple modifications can be made to obtain various desired properties. For example, we introduce a real-valued Discrete Cosine-based DOST (DCST). The coefficients of the DOST and its variations are shown to exhibit a directed graph structure as opposed to the tree-like structure demonstrated by wavelet coefficients. Finally, we employ the DOST and DCST in a series of simple compression experiments and compare the results to those obtained with biorthogonal wavelets and the DCT. © 2013 Springer-Verlag.

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Ladan, J., & Vrscay, E. R. (2013). The discrete orthonormal Stockwell transform and variations, with applications to image compression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7950 LNCS, pp. 235–244). https://doi.org/10.1007/978-3-642-39094-4_27

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