Feature-preserving multilevel halftoning algorithm

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 s...

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Bibliographic Details
Published inJournal of electronic imaging Vol. 21; no. 4; p. 043016
Main Authors Wong, Lai-Yan, Chan, Yuk-Hee
Format Journal Article
LanguageEnglish
Published Society of Photo-Optical Instrumentation Engineers 01.10.2012
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Summary: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.
ISSN:1017-9909
1560-229X
DOI:10.1117/1.JEI.21.4.043016