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Green Noise Digital Halftoning With Multiscale Error Diffusion

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2 Author(s)
Yik-Hing Fung ; Center of Multimedia Signal Processing Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong ; Yuk-Hee Chan

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.

Published in:

IEEE Transactions on Image Processing  (Volume:19 ,  Issue: 7 )