IEEE Trans Image Process - Green noise digital halftoning with multiscale error diffusion.

Tópicos

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Resumo

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.

Resumo Limpo

multiscal error diffus med superior convent error diffus algorithm can elimin direct hysteresi complet possess good blue nois characterist howev due filter design suitabl system poor isol dot generat instabl dot gain paper propos med algorithm produc halfton desir green nois characterist algorithm allow one adjust desir cluster size freeli singl paramet support linear relationship cluster size input gray level closetoisotrop diffus filter algorithm can effect remov pattern artifact elimin direct artifact preserv origin imag detail analysi simul result show provid better perform term various aspect includ dot distribut anisotropi output imag qualiti compar convent green nois error diffus algorithm

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