Name
Abstract | ||
|---|---|---|
Zerotree based coders have shown a good ability to be successfully adapted to 3D image coding. This paper focuses on the adaptation of EZW for the compression of hyperspectral images with reduced complexity. The subordinate pass is removed so that the location of significant coefficients does not need to be kept in memory. To compensate the quality loss due to this removal, a signed binary digit representation is used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366085 | 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS |
Keywords | Field | DocType |
image coding, EZW, signed binary digit representation | Computer science,Numerical digit,Arithmetic,Coding (social sciences),Hyperspectral imaging,Pixel,Data compression,Arithmetic coding,Binary number,Wavelet transform | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.41 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Christophe | 1 | 166 | 13.83 |
| P. Duhamel | 2 | 146 | 18.79 |
| Corinne Mailhes | 3 | 99 | 20.48 |