Digital halftoning
Modern Digital Halftoning
A multiscale error diffusion technique for digital halftoning
IEEE Transactions on Image Processing
Adaptive threshold modulation for error diffusion halftoning
IEEE Transactions on Image Processing
Hardcopy image barcodes via block-error diffusion
IEEE Transactions on Image Processing
Printer models and error diffusion
IEEE Transactions on Image Processing
Parallel structure-aware halftoning
Multimedia Tools and Applications
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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 showthat 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.