ICIAR 2013: Image Analysis and Recognition pp 235-244 | Cite as
The Discrete Orthonormal Stockwell Transform and Variations, with Applications to Image Compression
Conference paper
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.
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© Springer-Verlag Berlin Heidelberg 2013