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Volume: 29 | Article ID: art00014
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Color halftoning based on Neugebauer Primary Area Coverage
  DOI :  10.2352/ISSN.2470-1173.2017.18.COLOR-041  Published OnlineJanuary 2017
Abstract

In this paper, we propose a halftoning method with Neugebauer Primary Area Coverage (NPAC) direct binary search (DBS), with the optimized human visual system (HVS) model, we are able obtain homogeneous and smooth hafltone colored image. The halftoning is based on separating the colored image represented in Neugebauer Primary in three channels based on human visual system, with swap-only DBS, we arrange the dots to bring the error metric to its minimum and the optimized halftone image is obtained. The separation of chrominance HVS filters between red-green and blue-yellow channels allows us to represent HVS more accurately. Color halftone images generated using this method and method of using combined chrominance filter is compared.

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Wanling Jiang, Weijuan Xi, Utpal Sarkar, Robert Ulichney, Jan P. Allebach, "Color halftoning based on Neugebauer Primary Area Coveragein Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXII: Displaying, Processing, Hardcopy, and Applications,  2017,  pp 91 - 102,  https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-041

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Copyright © Society for Imaging Science and Technology 2017
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