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Feature-preserving multilevel halftoning algorithm

[+] Author Affiliations
Lai-Yan Wong

The Hong Kong Polytechnic University, Center of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong

Yuk-Hee Chan

The Hong Kong Polytechnic University, Center of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong

J. Electron. Imaging. 21(4), 043016 (Nov 27, 2012). doi:10.1117/1.JEI.21.4.043016
History: Received August 16, 2012; Revised October 21, 2012; Accepted October 29, 2012
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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.

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© 2012 SPIE and IS&T

Citation

Lai-Yan Wong and Yuk-Hee Chan
"Feature-preserving multilevel halftoning algorithm", J. Electron. Imaging. 21(4), 043016 (Nov 27, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.4.043016


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Efficient halftoning based on multiple look-up tables. IEEE Trans Image Process 2013;22(11):4522-31.
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