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Proceedings Paper

Model-based color halftoning using direct binary search
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Paper Abstract

In this paper, we develop a model based color halftoning method using the direct binary search (DBS) algorithm. Our method strives to minimize the perceived error between the continuous tone original color image and the color halftone image. We exploit the differences in low human viewers respond to luminance and chrominance information and use the total squared error in a luminance/chrominance based space as our metric. Starting with an initial halftone, we minimize this error metric using the DBS algorithm. Our method also incorporates a measurement based color printer dot interaction model to prevent the artifacts due to dot overlap and to improve color texture quality. We calibrate our halftoning algorithm to ensure accurate colorant distributions in resulting halftones. We present the color halftones which demonstrate the efficacy of our method.

Paper Details

Date Published: 21 December 1999
PDF: 15 pages
Proc. SPIE 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V, (21 December 1999); doi: 10.1117/12.373434
Show Author Affiliations
A. Ufuk Agar, Hewlett-Packard Co. (United States)
Jan P. Allebach, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 3963:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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