Feature-preserving multilevel halftoning algorithm

Lai-Yan Wong; Yuk-Hee Chan

doi:10.1117/1.JEI.21.4.043016

27 November 2012 Feature-preserving multilevel halftoning algorithm

Lai-Yan Wong, Yuk-Hee Chan

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 4, 043016 (November 2012). https://doi.org/10.1117/1.JEI.21.4.043016

Abstract

Conventional threshold decomposition-based multilevel halftoning algorithms decompose an input image into layers, halftone each one of them with a binary halftoning algorithm, and combine their binary halftones to produce the final multilevel halftone. As layers are handled one by one subject to a stacking constraint, darker pixels in the final multilevel output are positioned first, which makes it difficult for the algorithms to preserve bright spatial features. This issue is addressed and a solution to eliminate this bias is proposed. Simulation result shows that the proposed method can provide an output of better quality as compared with conventional threshold decomposition-based algorithms both subjectively and objectively.

Citation Download Citation

Lai-Yan Wong and Yuk-Hee Chan "Feature-preserving multilevel halftoning algorithm," Journal of Electronic Imaging 21(4), 043016 (27 November 2012). https://doi.org/10.1117/1.JEI.21.4.043016

Published: 27 November 2012

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