Name
Abstract | ||
|---|---|---|
The small size of a color palette is utilized to include hidden information in the true-color image. Adaptive vector quantization is performed to define color palette, which is used for purposes to extract the hidden information. The resulting Voronoi tessellation is approximated by 3D cubes to define regions centered in the prototype vectors that are used to code hidden information. The regions are partitioned into cells the identity of which encode the hidden information in each pixel. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-44456-4_6 | ISW |
Keywords | Field | DocType |
hiding information,small size,adaptive vector quantization,small color palettes,true-color image,color palette,hidden information,prototype vector,voronoi tessellation,color image | 8-bit color,Computer vision,High color,Computer science,Color depth,Vector quantization,Pixel,Voronoi diagram,Artificial intelligence,Histogram equalization,Color image | Conference |
Volume | ISSN | ISBN |
1975 | 0302-9743 | 3-540-41416-9 |
Citations | PageRank | References |
3 | 0.39 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tapio Seppänen | 1 | 604 | 84.33 |
| Kaisu Mäkelä | 2 | 3 | 0.39 |
| Anja Keskinarkaus | 3 | 58 | 7.17 |