Name
Abstract | ||
|---|---|---|
Superresolution reconstruction produces a high resolution image from a set of low resolution images. Previous work on superresolution had not adequately addressed the computational issues for this problem. In this paper, we propose efficient block circulant preconditioners for solving the regularized superresolution problem by conjugate gradients. The effectiveness of the preconditioners is demonstrated with superresolution results for a simulated image sequence and a FLIR image sequence |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ICASSP.1999.757534 | ICASSP |
Keywords | Field | DocType |
flir image sequence,regularized superresolution problem,simulated image sequence,conjugate gradients,superresolution reconstruction,high resolution image,image resolution,image reconstruction,computational issue,efficient block circulant preconditioners,image sequences,superresolution result,conjugate gradient,low resolution image,conjugate gradient methods,regularized image superresolution,scientific computing,spatial resolution,low resolution,layout,motion estimation,pixel,solids | Iterative reconstruction,Computer vision,Mathematical optimization,Image gradient,Feature detection (computer vision),Computer science,Circulant matrix,Artificial intelligence,Image resolution,Image sequence,Superresolution | Conference |
Volume | ISSN | ISBN |
6 | 1520-6149 | 0-7803-5041-3 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Nguyan | 1 | 0 | 0.34 |
| G. H. Golub | 2 | 333 | 55.28 |
| Peyman Milanfar | 3 | 700 | 52.20 |