Abstract
We develop an information-theoretic analysis of dependencies between image wavelet coefficients. The dependencies are measured using mutual information, which has a direct link with data compression and estimation performance. Mutual information can be computed analytically for the special case where the image is a stationary autoregressive (AR)-1 Gaussian process. We have also developed methods to compute mutual information experimentally from wavelet domain image data. Our mutual-information analysis provides a mechanism for model evaluation and comparison.
| Original language | English (US) |
|---|---|
| Pages | 669-672 |
| Number of pages | 4 |
| 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
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering