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Journal of Electronic Imaging

Feature-preserving multilevel halftoning algorithm
Author(s): Lai-Yan Wong; Yuk-Hee Chan
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Paper 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.

Paper Details

Date Published: 27 November 2012
PDF: 9 pages
J. Electron. Imaging. 21(4) 043016 doi: 10.1117/1.JEI.21.4.043016
Published in: Journal of Electronic Imaging Volume 21, Issue 4
Show Author Affiliations
Lai-Yan Wong, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Yuk-Hee Chan, The Hong Kong Polytechnic Univ. (Hong Kong, China)


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