Abstract
Embedded zerotree wavelet (EZW) coding, introduced by J.M. Shapiro and improved in the SPIHT codec of A. Said and W.A. Pearlman, is a very effective wavelet image coding method. One main concept in EZW and SPIHT is the exploitation of self-similarity across different scales of the image wavelet transform to effectively compress the image data. This paper presents an efficient and fully embedded zerotree wavelet image codec that achieves a comparable and even better performance than SPIHT by exploiting only the self-similarity within the scales (intraband self-similarity). The proposed algorithm results in a simpler implementation and in a more efficient representation of the ordering information than SPIHT. Coding results are presented to illustrate the performance of the proposed embedded wavelet image codec.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing |
| Volume | 3 |
| State | Published - 2000 |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 9/10/00 → 9/13/00 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering