| Paper: | TP-L1.6 |
| Session: | Challenges in Restoration for Media Production |
| Time: | Tuesday, September 18, 16:30 - 16:50 |
| Presentation: |
Special Session Lecture
|
| Title: |
DETECTION AND RECOVERY OF FILM DIRT FOR ARCHIVE RESTORATION APPLICATIONS |
| Authors: |
Jinchang Ren; University of Bradford | | |
| | Theodore Vlachos; University of Surrey | | |
| Abstract: |
A novel spatio-temporal method is proposed for film dirt detection and recovery. Firstly, a more reliable confi-dence measurement of dirt is extracted for color films. False alarms caused by motion are filtered using consis-tency checks among several measurements. Then, candi-date dirt is detected by filtering and thresholding this confidence measurement. Finally, bi-directional local motion compensation and ML3Dex filtering are taken for the recovery of dirt pixels. Experiments on real data demonstrate the efficiency and effectiveness of our method in terms of both detection and recovery of dirt. |
