Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1496
| Title: | A row-oriented error diffusion technique for digital halftoning | Authors: | Chan, YH Cheung, SM |
Issue Date: | 2000 | Source: | ICIP : 2000 International Conference on Image Processing : proceedings : September 10-13, 2000, Vancouver, British Columbia, Canada, p. 997-1000 | Abstract: | In this paper, a digital halftoning method is proposed to diffuse error with a more symmetric error distribution by making use of the concept of multiscale error diffusion. It can improve the diffusion performance by effectively reducing directional hysteresis. The diffusion is row-oriented rather than frame-oriented and hence can reduce a lot of computation effort as compared with conventional multiscale error diffusion schemes. This makes it possible for real-time applications. | Keywords: | Algorithms Computational methods Digital signal processing Error analysis Iterative methods Real time systems |
Publisher: | IEEE | ISBN: | 0-7803-6297-7 | Rights: | © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A row-oriented error diffusion_00.pdf | 553.6 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
80
Last Week
0
0
Last month
Citations as of Apr 14, 2024
Downloads
57
Citations as of Apr 14, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.