Abstract
An adaptive error diffusion algorithm which exploits the statistical characteristics of the modified input is developed to match grey-levels of the input and the halftoned images. We adjust the threshold by using the quantization error to reflect the local characteristics and reduce the memory requirements. The proposed algorithm is combined with a color inkjet printer model to compensate for the distortion caused by the dot size differences in each color.
| Original language | English |
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| Pages | 779-782 |
| Number of pages | 4 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: 1997 Oct 26 → 1997 Oct 29 |
Other
| Other | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) |
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| City | Santa Barbara, CA, USA |
| Period | 97/10/26 → 97/10/29 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering