Colour image compression based on the embedded zerotree wavelet

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Abstract

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. © 2009 Springer Berlin Heidelberg.

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Pujol, F. A., Mora, H., Jimeno, A., & Sánchez, J. L. (2009). Colour image compression based on the embedded zerotree wavelet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 612–615). https://doi.org/10.1007/978-3-642-02481-8_89

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