Name
Abstract | ||
|---|---|---|
The main limitation of current magnifying techniques is that they do not introduce any new information into the original image. This lack of information is responsible for the perceived degradation of the enlarged image. The idea underlying this work is to estimate missing frequencies from the original low resolution image and to synthesize them. Sub-pixel edge estimation and a polynomial interpolation step are the key techniques of the proposed method. Furthermore, a new extension to color images is presented. Results are encouraging even if they suggest that further effort should be spent in improving edge localization accuracy. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-63507-6_195 | ICIAP (1) |
Keywords | Field | DocType |
image magnification,color image,polynomial interpolation,low resolution | Computer vision,Image gradient,Pattern recognition,Image texture,Computer science,Binary image,Stairstep interpolation,Image processing,Demosaicing,Artificial intelligence,Image resolution,Image scaling | Conference |
ISBN | Citations | PageRank |
3-540-63507-6 | 4 | 0.64 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Biancardi | 1 | 19 | 6.83 |
| Luca Lombardi | 2 | 24 | 3.96 |
| V. Pacaccio | 3 | 4 | 0.64 |