An optimal blind temporal motion blur deconvolution filter
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 6493432 |
| Pages (from-to) | 523-526 |
| Journal / Publication | IEEE Signal Processing Letters |
| Volume | 20 |
| Issue number | 5 |
| Publication status | Published - 2013 |
| Externally published | Yes |
Link(s)
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.
Research Area(s)
- Blind deconvolution, motion blur, optimal filter
Bibliographic 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].
Citation Format(s)
An optimal blind temporal motion blur deconvolution filter. / Tendero, Yohann; Morel, Jean-Michel.
In: IEEE Signal Processing Letters, Vol. 20, No. 5, 6493432, 2013, p. 523-526.
In: IEEE Signal Processing Letters, Vol. 20, No. 5, 6493432, 2013, p. 523-526.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
