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https://olympias.lib.uoi.gr/jspui/handle/123456789/10902Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | He, H. | en |
| dc.contributor.author | Kondi, L. P. | en |
| dc.date.accessioned | 2015-11-24T17:01:17Z | - |
| dc.date.available | 2015-11-24T17:01:17Z | - |
| dc.identifier.issn | 1057-7149 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10902 | - |
| dc.rights | Default Licence | - |
| dc.subject | regularization | en |
| dc.subject | resolution enhancement | en |
| dc.subject | superresolution | en |
| dc.subject | high-resolution image | en |
| dc.subject | video sequences | en |
| dc.subject | regularization parameter | en |
| dc.subject | reconstruction | en |
| dc.subject | restoration | en |
| dc.subject | enhancement | en |
| dc.subject | registration | en |
| dc.title | An image super-resolution algorithm for different error levels per frame | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | Doi 10.1109/Tip.2005.860599 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.publicationDate | 2006 | - |
| heal.abstract | In this paper, we propose an image super-resolution (resolution enhancement) algorithm that takes into account inaccurate estimates of the registration parameters and the point spread function. These inaccurate estimates, along with the additive Gaussian noise in the low-resolution (LR) image sequence, result in different noise level for each frame. In the proposed algorithm, the LR frames are adaptively weighted according to their reliability and the regularization parameter is simultaneously estimated. A translational motion model is assumed. The convergence property of the proposed algorithm is analyzed in detail. Our experimental results using both real and synthetic data show the effectiveness of the proposed algorithm. | en |
| heal.journalName | Ieee Transactions on Image Processing | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Konti-2006-An Image Super-Resolution Algorithm for different.pdf | 4.49 MB | Adobe PDF | View/Open Request a copy |
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