Abstract
The frames of a video sequence can be improved by a spatial deconvolution of any motion blur not exceeding two pixels per frame. Yet, this requires an accurate blur estimation and local deconvolution, which is problematic for multiple local motions. We introduce an optimal temporal blur deconvolution filter restoring blindly any nonuniform motion blur with an amplitude below one pixel per frame. The discrete filter has a very low complexity of about 20 operations per pixel. Experiments illustrate the method on simulated data, real movies and on sequences from the Middlebury database. © 1994-2012 IEEE.
| Original language | English |
|---|---|
| Article number | 6493432 |
| Pages (from-to) | 523-526 |
| Journal | IEEE Signal Processing Letters |
| Volume | 20 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
The work of Y. Tendero was supported by the grant “Mathematics of Sensing, Exploitation and Execution (MSEE)” and by The Duke DARPA Grant Agency Award 12-DARPA-1042. The work of J.-M. Morel was supported by the MISS project of Centre National d’Etudes Spatiales, the Office of Naval Research under Grant N00014-97-1-0839, and by the European Research Council, advanced grant “Twelve labours.”
Research Keywords
- Blind deconvolution
- motion blur
- optimal filter
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