Name
Abstract | ||
|---|---|---|
Error Diffusion is a high-performance halftoning method in which quantization errors are diffused to "future" pixels. Originally intended for grayscale images, it is traditionally extended to color images by Error-Diffusing each of the three color planes independently (separable Error Diffusion). In this paper we show that augmenting the Error Diffusion paradigm with a simple design rule based on certain characteristics of human color perception, results in a novel color halftoning algorithm named Color Diffusion. The output of Color Diffusion is of considerable higher quality compared to separable Error Diffusion. The algorithm presented requires no additional memory and entails a reasonable increase in run-time. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1117/12.334589 | COLOR IMAGING: DEVICE-INDEPENDENT COLOR, COLOR HARDCOPY, AND GRAPHIC ARTS IV |
Keywords | Field | DocType |
color halftoning, error diffusion, minimal brightness variation criterion | Computer vision,High color,Color space,Color histogram,Computer science,Color depth,RGB color model,Artificial intelligence,Color quantization,ICC profile,Color image | Conference |
Volume | ISSN | Citations |
3648 | 0277-786X | 9 |
PageRank | References | Authors |
0.64 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Doron Shaked | 1 | 553 | 55.76 |
| Nur Arad | 2 | 164 | 27.04 |
| Andrew Fitzhugh | 3 | 18 | 1.24 |
| Irwin Sobel | 4 | 311 | 416.52 |