Name
Abstract | ||
|---|---|---|
In this paper, we propose a new scaling algorithm which performs the scaling up/down transform using an area pixel model rather than a point pixel model. The proposed algorithm uses a variable number of pixels of an original image to calculate a pixel of the scaled image. Our algorithm has good characteristics such as fine-edge and good smoothness. Different quality parameters (standard deviation, root mean square error, aliasing, edge map) are used to compare our algorithm with four image scaling algorithms: nearest neighbour, bilinear, bicubic and winscale algorithms. The results show that our algorithm generally produces images of better quality with few aliasing, few blur and high contrast. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-69812-8_6 | ICIAR |
Keywords | Field | DocType |
different quality parameter,good characteristic,point pixel model,winscale algorithm,areas pixels,area pixel model,better quality,proposed algorithm,original image,new scaling algorithm,good smoothness,root mean square error,standard deviation,scaling,resizing | Pattern recognition,Computer science,Bicubic interpolation,hqx,Aliasing,Artificial intelligence,Pixel,Standard deviation,Scaling,Image scaling,Bilinear interpolation | Conference |
Volume | ISSN | Citations |
5112 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alain Horé | 1 | 169 | 9.54 |
| François Deschênes | 2 | 11 | 3.39 |
| Djemel Ziou | 3 | 1395 | 99.40 |