An Adaptive Fast Transform Based Image Compression

Authors:
Kamil Stokfiszewski;Piotr S. Szczepaniak
Affiliations:
Institute of Computer Science, Technical University of Lodz, Lodz, Poland 93-005;Institute of Computer Science, Technical University of Lodz, Lodz, Poland 93-005 and Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland 01-447
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

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.