Abstract
In this paper, we propose image restoration algorithms based on adaptive wavelet-domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet-based restoration methods are obtained. The use of a translation-invariant basis further enhances the restoration performance.
| Original language | English (US) |
|---|---|
| Pages | 21-24 |
| Number of pages | 4 |
| State | Published - 2001 |
| Event | IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001 |
Other
| Other | IEEE International Conference on Image Processing (ICIP) |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 10/7/01 → 10/10/01 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering