Name
Abstract | ||
|---|---|---|
In this paper a new technique for performing image registration with subpixel accuracy is presented. The proposed technique, which is based on the maximization of the correlation coefficient function, does not require the reconstruction of the intensity values and provides a closed-form solution to the subpixel translation estimation problem. Moreover, an efficient iterative scheme is proposed, which reduces considerably the overall computational cost of the image registration problem. This scheme properly combined with the proposed similarity measure results in a fast spatial domain technique for subpixel image registration. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.image.2008.08.003 | Sig. Proc.: Image Comm. |
Keywords | Field | DocType |
subpixel image registration,subpixel translation estimation problem,subpixel accuracy,image registration,fast spatial domain technique,proposed technique,proposed similarity measure result,efficient spatial domain technique,efficient iterative scheme,image registration problem,new technique,closed form solution | Similitude,Computer vision,Similarity measure,Iterative method,Computer science,Image processing,Artificial intelligence,Subpixel rendering,Image registration,Maximization,Computational complexity theory | Journal |
Volume | Issue | ISSN |
23 | 9 | Signal Processing: Image Communication |
Citations | PageRank | References |
3 | 0.82 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene G. Karybali | 1 | 17 | 3.78 |
| Emmanouil Z. Psarakis | 2 | 43 | 11.05 |
| Kostas Berberidis | 3 | 314 | 35.76 |
| Georgios D. Evangelidis | 4 | 199 | 12.91 |