Name
Abstract | ||
|---|---|---|
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two consecutive steps as: registration and restoration. The ability to accurately register the input images is key to the success and the quality of image super- resolution algorithms. Using recent results from the sampling theory for signals with Finite Rate of Innovation (FRI), we propose in this paper a new technique for subpixel extraction from low resolution images of local features like step edges and corners for image regis- tration. By exploiting the knowledge of the sampling kernel, we are able to locate exactly the step edges on synthetic images. We also present results of full frame super-resolution of real low resolution images using our registration technique. We obtain super-resolved images with a much improved visual quality compared to using a standard local feature detection approach like a subpixel Harris cor- ner detector. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICIP.2007.4379850 | Image Processing, 2007. ICIP 2007. IEEE International Conference |
Keywords | Field | DocType |
feature extraction,image registration,image resolution,image restoration,image sampling,image registration,image restoration,image sampling,image super-resolution,local feature extraction,Image edge analysis,Image registration,Image restoration,Image super-resolution,Spline functions | Kernel (linear algebra),Computer vision,Corner detection,Pattern recognition,Computer science,Feature extraction,Image formation,Artificial intelligence,Subpixel rendering,Image restoration,Image resolution,Image registration | Conference |
Volume | ISSN | ISBN |
5 | 1522-4880 E-ISBN : 978-1-4244-1437-6 | 978-1-4244-1437-6 |
Citations | PageRank | References |
4 | 0.48 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loïc Baboulaz | 1 | 4 | 0.48 |
| Dragotti, P.L. | 2 | 512 | 39.29 |