Abstract
Images degraded by motion blur can be restored when several blurred images are given, and the direction of motion blur in each image is different. Given two motion blurred images, best restoration is obtained when the directions of motion blur in the two images are orthogonal. Motion blur at different directions is common, for example, in the case of small hand-held digital cameras due to fast hand trembling and the light weight of the camera. Restoration examples are given on simulated data as well as on images with real motion blur.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 5th IEEE Workshop on Applications of Computer Vision, WACV 2000 |
| Publisher | IEEE Computer Society |
| Pages | 22-27 |
| Number of pages | 6 |
| ISBN (Electronic) | 0769508138 |
| DOIs | |
| State | Published - 2000 |
| Event | 5th IEEE Workshop on Applications of Computer Vision, WACV 2000 - Palm Springs, United States Duration: 4 Dec 2000 → 6 Dec 2000 |
Publication series
| Name | Proceedings of IEEE Workshop on Applications of Computer Vision |
|---|---|
| Volume | 2000-January |
| ISSN (Print) | 2158-3978 |
| ISSN (Electronic) | 2158-3986 |
Conference
| Conference | 5th IEEE Workshop on Applications of Computer Vision, WACV 2000 |
|---|---|
| Country/Territory | United States |
| City | Palm Springs |
| Period | 4/12/00 → 6/12/00 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.
Keywords
- Autoregressive processes
- Computer science
- Deconvolution
- Degradation
- Digital cameras
- Image analysis
- Image motion analysis
- Image restoration
- Kernel
- Motion analysis