2009 | OriginalPaper | Buchkapitel
Colour Image Compression Based on the Embedded Zerotree Wavelet
verfasst von : Francisco A. Pujol, Higinio Mora, Antonio Jimeno, José Luis Sánchez
Erschienen in: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Verlag: Springer Berlin Heidelberg
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In recent years, some of the most emerging applications in multimedia data processing are wireless/mobile multimedia systems and streaming content over the Internet. Both applications require flexible image data compression for storage or transmission proposals. Wavelet-based image compression schemes, such as the Embedded Zerotree Wavelet, obtain excellent results for these proposals and have been object of intensive research. In this work we propose an EZW-based compression method for colour images, based on the omission and restoration of wavelet subbands; our method achieves high compression rates and low computation times, combining, therefore, the advantages from both DCT and wavelet based compression algorithms.