Paper
29 April 2002 Application of composite invisible image watermarks to simplify detection of a distinct watermark from a large set
Gordon W. Braudaway, Frederick C. Mintzer
Author Affiliations +
Proceedings Volume 4675, Security and Watermarking of Multimedia Contents IV; (2002) https://doi.org/10.1117/12.465315
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
Earlier, we presented a highly robust invisible watermarking technique for digitized images having a payload of one bit - indicating the presence or absence of the watermark. Other invisible watermarking techniques also possess this property. This family of techniques may be used to watermark a source image with distinct marks, perhaps to indicate the identity of the recipient, resulting in a set of many near-copies of the source image. Then, the problem of detecting a distinct watermark in an image from the set may imply attempting detection of all possible watermarks. In this paper we will present a technique using composite watermarks which reduces the number of attempts necessary for distinct watermark detection. If the number of images in the set is m to the power n, then the number of attempted detections is never more than m times n. Thus, for m=10 and n=3, a set of 1000 distinctly watermarked near-copies can be produced, but instead of 1000 attempted detection's to insure identification of a particular watermark, only thirty are required. The techniques used for constructing composite watermarks will be detailed and limitations of this approach will be discussed. Results of a successful detection of a distinct watermark from a large set will be presented.
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Gordon W. Braudaway and Frederick C. Mintzer "Application of composite invisible image watermarks to simplify detection of a distinct watermark from a large set", Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); https://doi.org/10.1117/12.465315
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KEYWORDS
Digital watermarking

Image visualization

Composites

Visualization

Modulation

Image processing

Binary data

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