Wavelet-based image compression using fixed residual value

Tanzeem Muzaffar; Tae-Sun Choi

doi:10.1117/12.411588

28 December 2000 Wavelet-based image compression using fixed residual value

Tanzeem Muzaffar, Tae-Sun Choi

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411588
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Wavelet based compression is getting popular due to its promising compaction properties at low bitrate. Zerotree wavelet image coding scheme efficiently exploits multi-level redundancy present in transformed data to minimize coding bits. In this paper, a new technique is proposed to achieve high compression by adding new zerotree and significant symbols to original EZW coder. Contrary to four symbols present in basic EZW scheme, modified algorithm uses eight symbols to generate fewer bits for a given data. Subordinate pass of EZW is eliminated and replaced with fixed residual value transmission for easy implementation. This modification simplifies the coding technique as well and speeds up the process, retaining the property of embeddedness.

Citation Download Citation

Tanzeem Muzaffar and Tae-Sun Choi "Wavelet-based image compression using fixed residual value", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411588

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