IEEE Trans Image Process - Efficient halftoning based on multiple look-up tables.

Tópicos

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Resumo

Look-up table (LUT) halftoning is an efficient way to construct halftone images and approximately simulate the dot distribution of the learned halftone image set. In this paper, a general mechanism named multiple look-up table (MLUT) halftoning is proposed to generate the halftones of direct binary search (DBS), whereas the high efficient characteristic of the LUT is still preserved. In the MLUT, the standard deviation is adopted as an important feature to classify various tables. In addition, the proposed quick standard deviation evaluation is employed to yield an extremely low computational complexity in calculating the standard deviation. In the parameter optimization, the autocorrelation is adopted because it can fully characterize the periodicity of dot distribution. Experimental results demonstrate that the dot distribution generated by the proposed method approximates to that of the DBS, which enables the proposed scheme as a very competitive candidate in the copying and printing industry.

Resumo Limpo

lookup tabl lut halfton effici way construct halfton imag approxim simul dot distribut learn halfton imag set paper general mechan name multipl lookup tabl mlut halfton propos generat halfton direct binari search dbs wherea high effici characterist lut still preserv mlut standard deviat adopt import featur classifi various tabl addit propos quick standard deviat evalu employ yield extrem low comput complex calcul standard deviat paramet optim autocorrel adopt can fulli character period dot distribut experiment result demonstr dot distribut generat propos method approxim dbs enabl propos scheme competit candid copi print industri

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