Princeton University         Office of Technology & Trademark Licensing
                                                Fourth Floor, New South Building
                                                Post Office Box 36
                                                Princeton, New Jersey 08544-0036
                                                Phone: (609) 258-1570
                                                FAX: (609) 258-1159

 

A DIGITAL WATERMARKING METHOD FOR IMAGE AUTHENTICATION

AN IMPROVED METHOD FOR DATA HIDING USING SHUFFLING

DATA HIDING IN BINARY IMAGES AND DOCUMENTS

Researchers at Princeton University have developed a novel technique for insertion of an invisible watermark in a digital image to detect whether the image has been modified from the original. Princeton is currently seeking industrial collaborators to commercialize this technology.

The need to verify the authenticity of a digital image or video is increasingly common in fields such as litigation and journalism. Currently used methods for digital image authentication include digital signature, content-based signature, pixel-domain watermarking, and frequency-domain data hiding schemes. The advantages of this invention over prior art are that it is able to indicate whether an image is altered or not, locate where the alteration was made, embed the data used for authen tication within the host image rather than as a separate file, insert the watermark with no visible distortion under normal viewing conditions, and store the watermarked image in lossy-compression format for efficient storage and transmission.

The method can be used by digital camera and camcorder manufacturers to produce "trustworthy" images.

Patent protection is pending.

For more information please contact:

             William H. Gowen
             Office of Patents and Licensing
             Princeton University
             4 New South Building
             Princeton, NJ 08544-0036
             (609) 258-6762
             (609) 258-1159 fax
            
wgowen@princeton.edu

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