Abstract
Embedded zerotree wavelet coding (EZW), introduced by J.M. Shapiro and recently improved by A. Said and W.A. Pearlman using an algorithm based on set partitioning in hierarchical trees (SPIHT), is a computationally inexpensive image coding technique and has proven to be very effective at minimizing the mean-square error (MSE) distortion measure. However, minimizing MSE does not guarantee preservation of good perceptual qualities in the decoded image, especially at low bit rates. In this paper we propose a perceptually-tuned embedded zerotree image codec (PEZ) that introduces a perceptual weighting to the wavelet transform coefficients prior to EZW encoding. In this coder the EZW minimizes a perceptually based distortion measure instead of MSE. The perceptual weights for all subbands are computed based on the just noticeable distortion (JND) thresholds for uniform noise. The new perceptually tuned codec has the same complexity as the original EZW/SPIHT techniques and results in a comparable or superior coding performance. Coding results are presented to illustrate the performance of the new coder.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Image Processing |
Place of Publication | Los Alamitos, CA, United States |
Publisher | IEEE Comp Soc |
Pages | 41-44 |
Number of pages | 4 |
Volume | 1 |
State | Published - 1997 |
Event | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: Oct 26 1997 → Oct 29 1997 |
Other
Other | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) |
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City | Santa Barbara, CA, USA |
Period | 10/26/97 → 10/29/97 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering