| Title |
Green Noise Digital Halftoning With Multiscale Error Diffusion |
| ID_Doc |
62020 |
| Authors |
Fung, YH; Chan, YH |
| Title |
Green Noise Digital Halftoning With Multiscale Error Diffusion |
| Year |
2010 |
| Published |
Ieee Transactions On Image Processing, 19, 7 |
| DOI |
10.1109/TIP.2010.2044961 |
| Abstract |
Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely and possesses a good blue noise characteristic. However, due to its filter design, it is not suitable for systems with poor isolated dot generation and instable dot gain. In this paper, we propose a MED algorithm to produce halftones of desirable green noise characteristics. This algorithm allows one to adjust the desirable cluster size freely through a single parameter and supports a linear relationship between the cluster size and the input gray level. With a close-to-isotropic diffusion filter, the algorithm can effectively remove pattern artifacts, eliminate directional artifacts and preserve original image details. Analysis and simulation results show that it provides better performance in terms of various aspects including dot distribution, anisotropy and output image quality as compared with other conventional green noise error diffusion algorithms. |
| Author Keywords |
Error diffusion; green noise; halftoning; multiscale; error diffusion (MED); multiscale processing; printing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000278813800012 |
| WoS Category |
Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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