Per-separation clustered-dot color halftone watermarks: separation estimation based on spatial frequency content

Basak Oztan; Gaurav Sharma

doi:10.1117/1.3497615

1 October 2010 Per-separation clustered-dot color halftone watermarks: separation estimation based on spatial frequency content

Basak Oztan, Gaurav Sharma

Author Affiliations +

Journal of Electronic Imaging, Vol. 19, Issue 4, 043007 (October 2010). https://doi.org/10.1117/1.3497615

Abstract

A framework for clustered-dot color halftone watermarking is considered, wherein watermark patterns are embedded in individual colorant halftones prior to printing and embedded watermarks are detected from scans of the printed images after obtaining estimates of the individual halftone separations. The principal challenge in this methodology arises in the watermark detection phase. Typical three-channel RGB scanner systems do not directly provide good estimates of the four CMYK colorant halftones that are commonly used in color printing systems. To address this challenge, we propose an estimation method that, when used with suitably selected halftone periodicities, jointly exploits the differences in the spatial periodicities and the color (spectra) of the halftone separations to obtain good estimates of the individual halftones from conventional RGB scans. We demonstrate the efficacy of this methodology experimentally using continuous phase modulation for the embedding of independent visual watermark patterns in the individual halftone separations. Watermarks detected from the estimates of halftone separations obtained using the proposed estimation method have a much higher contrast than those detected directly. We also evaluate the accuracy of the estimated halftones through simulations and demonstrate that the proposed estimation method offers high accuracy.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Basak Oztan and Gaurav Sharma "Per-separation clustered-dot color halftone watermarks: separation estimation based on spatial frequency content," Journal of Electronic Imaging 19(4), 043007 (1 October 2010). https://doi.org/10.1117/1.3497615

Published: 1 October 2010

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