Name
Abstract | ||
|---|---|---|
The correct display of edges in half-toned images is necessary for accurate image reproduction. This problem has been addressed by pre-processing the image to enhance the edges or by altering the half-toning algorithm to account for edges. In this paper we present a postprocessing edge enhancement technique that is applicable to all half-toning algorithms.We identify two types of edge pixels in the image; dark and light edge pixels. Edges in an image are highlighted by setting the dark/light edge pixels to black/white. Our method was tested on a modern laser printer and hence our evaluation of the technique is restricted to clustered half-toning methods.We evaluated the effect of enhancing edges by conducting a user survey to determine the perceived value of the different edge enhancement methods. The results of the user survey, while not statistically significant, indicate that our post-processing technique achieves comparable results to previous edge enhancement methods. Our technique is simple to implement and can be applied to any half-toning technique and thus is a good default edge-enhancing approach. |
Year | Venue | Keywords |
|---|---|---|
1998 | GRAPHICS INTERFACE '98 - PROCEEDINGS | half-toning, edge enhancement |
Field | DocType | Citations |
Computer vision,Computer science,Artificial intelligence,Edge enhancement | Conference | 1 |
PageRank | References | Authors |
0.44 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John W. Buchanan | 1 | 238 | 18.32 |
| Lisa M. Steit | 2 | 1 | 0.44 |
| Oleg Veryovka | 3 | 73 | 6.12 |