Embedding Imperceptible Data in Images
Research Overview
By altering the colours of an image by imperceptible amounts, one can
embed digital information that is easily detected by common desktop
scanners. But people cannot see the image distortions.
My current work uses quantitative models of human visual discrimination
to constrain the visibility of embedded information, along with
conventional image processing techniques for its detection.
This is a collaboration with Todd Cass and David Hecht at Xerox PARC,
and with David Heeger (Stanford University).
Applications of this technology are many, from the embedding of
calibration information in images (e.g. for deskewing), to digital
watermarking, to the embedding of web addresses for example.
Related Publications
- Fleet, D.J. and Heeger, D.J. (1997) Embedding invisible information
in color images. IEEE International Conference on Image Processing,
Santa Barbara, October, Vol. I, pp. 532-535
(colour postscript)
(b&w postscript)
© IEEE
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