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Journal of Electronic Imaging

Automatic recovery of invisible image watermarks from geometrically distorted images
Author(s): Gordon W. Braudaway; Frederick C. Mintzer
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Paper Abstract

One method of attacking an imbedded invisible watermark is to create a derivative image that is geometrically distorted relative to the original. One attack, developed at Cambridge University, is called ‘‘StirMark.’’ 1 Image-distorting methods modify images so subtly that the changes are essentially unnoticeable to a viewer. However, their effect on invisible watermarks can be devastating, rendering them unextractable. In this paper, an automated countermeasure to image-distorting attacks will be described. Employing an unmarked copy of the original image as a reference, the possible distortion in a suspect image is first detected by the method, then measured, and finally reversed, producing a restored image approximately geometrically aligned with the original. Using a robust invisible watermarking method described previously by one of the authors to produce a watermarked image, ‘‘StirMark’’ to distort the watermarked image, and a copy of the original unmarked image for reference, the restoration method is demonstrated to be sufficient by showing successful extraction of the imbedded watermark from a restored image.

Paper Details

Date Published: 1 October 2000
PDF: 7 pages
J. Electron. Imaging. 9(4) doi: 10.1117/1.1287836
Published in: Journal of Electronic Imaging Volume 9, Issue 4
Show Author Affiliations
Gordon W. Braudaway, IBM Thomas J. Watson Research Ctr. (United States)
Frederick C. Mintzer, IBM Thomas J. Watson Research Ctr. (United States)


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