The paper deals with image compression performed using an adaptive fast transform-based method. The point of departure is a base scheme for fast computation of certain discrete transforms. The scheme can be interpreted in terms of the neural architecture whose parameters (neurons' weights) can be adjusted during learning on set data, here images. The same basic network topology enables realization of diverse transformations. The results obtained for the task of image compression are presented and evaluated. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Stokfiszewski, K., & Szczepaniak, P. S. (2008). An adaptive fast transform based image compression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 874–885). https://doi.org/10.1007/978-3-540-69731-2_83
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