Abstract
A novel spatio-temporal method is proposed for film dirt
detection and recovery. Firstly, a more reliable confidence
measurement of dirt is extracted for color films.
False alarms caused by motion are filtered using consistency
checks among several measurements. Then, candidate
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.
detection and recovery. Firstly, a more reliable confidence
measurement of dirt is extracted for color films.
False alarms caused by motion are filtered using consistency
checks among several measurements. Then, candidate
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IEEE International Conference on Image Processing, 2007. (ICIP 2007) |
| Publisher | IEEE |
| Pages | 21-24 |
| Number of pages | 4 |
| Volume | 4 |
| ISBN (Print) | 978-1-4244-1437-6 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 14th IEEE International Conference on Image Processing - Hyatt Regency San Antonio, San Antonio, United States Duration: 16 Sept 2007 → 19 Sept 2007 |
Conference
| Conference | 2007 14th IEEE International Conference on Image Processing |
|---|---|
| Abbreviated title | ICIP 2007 |
| Country/Territory | United States |
| City | San Antonio |
| Period | 16/09/07 → 19/09/07 |
Keywords
- film dirt detection
- archive restoration