Name
Abstract | ||
|---|---|---|
The paper describes a back-projection based algorithm, improved by adaptive techniques, able to reconstruct a high-resolution image from multiple low-resolution frames. The proposed approach is mainly based on a specific metric, the uncertainty degree, used in pixel reconstruction and on a local auto-iterative approach for error correction. Using uncertainty, the amount of computation is sensibly reduced. The auto-iterative technique reduces drastically the number of iterations needed to decrease approximation errors. This method is suitable to be applied when real-time processing is required. Experimental results are presented both in terms of perceived and measured quality. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TCE.2002.1037022 | Consumer Electronics, IEEE Transactions |
Keywords | Field | DocType |
adaptive signal processing,image reconstruction,image resolution,image sequences,iterative methods,adaptive back-projection correction,adaptive techniques,approximation errors,back-projection based algorithm,high-resolution image reconstruction,image resolution,image sequences,local auto-iterative approach,low-resolution frames,measured quality,perceived quality,pixel reconstruction,real-time processing,uncertainty degree | Iterative reconstruction,Computer vision,Image sensor,Iterative method,Computer science,Error detection and correction,Pixel,Artificial intelligence,Adaptive filter,Motion estimation,Image resolution | Journal |
Volume | Issue | ISSN |
48 | 3 | 0098-3063 |
Citations | PageRank | References |
15 | 1.44 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Messina, G. | 1 | 159 | 13.42 |
| Sebastiano Battiato | 2 | 374 | 41.37 |
| Massimo Mancuso | 3 | 248 | 17.22 |
| A. Buemi | 4 | 32 | 3.48 |