| Paper: | TA-L4.1 |
| Session: | Image and Video Restoration and Enhancement I |
| Time: | Tuesday, September 18, 09:50 - 10:10 |
| Presentation: |
Lecture
|
| Title: |
ROBUST FOCUSED IMAGE ESTIMATION FROM MULTIPLE IMAGES IN VIDEO SEQUENCES |
| Authors: |
Junlan Yang; University of Illinois at Chicago | | |
| | Dan Schonfeld; University of Illinois at Chicago | | |
| | Magdi Mohamed; Motorola Labs | | |
| Abstract: |
In this paper, we propose a novel technique for estimating focused image sequences captured by an out-of-focus camera. The basic concept used in the proposed algorithm employs multiple images with different blurs from the video sequence to estimate the blur model and construct a more robust method for focused image estimation. This algorithm can be used to correct focusing errors in the video capture process. It could potentially be used to replace the expensive apparatus required for auto-focus adjustments by miniature engines in many camera devices. We demonstrate the successful performance of our approach to focused image estimation through computer simulation experiments using various blur models. |
