Summary

We have developed a unique system for image authentication and recovery. We explored unique invariant properties in lossy compression such as JPEG, Motion JPEG, and MPEG. Content-based invisible watermarks are designed based on the invariant properties of such lossy compression and embedded into reconstructable coefficients. We proved such watermarks can be used to distinguish acceptable manipulations on digital images and malicious attacks (such as cropping and replacement).

Applications include medical, insurance, law enforcement, and news, in which some manipulations are required while malicious manipulations must be rejected.

People

Ching-Yung Lin

Professor Shih-Fu Chang

Demo

http://www.ee.columbia.edu/sari

Publication

C.-Y. Lin and S.-F. Chang, SARI: Self-Authentication-and-Recovery Image Watermarking System, ACM Multimedia 2001, Ottawa, Canada, Sep. 30 - Oct. 5, 2001.
(PS.GZ/PDF)

C.-Y. Lin and S.-F. Chang, A Robust Image Authentication Method Surviving JPEG Lossy Compression, Proceedings, IS&T/SPIE Symposium on Electronic Imaging: Science and Technology (EI'98) - SPIE Storage and Retrieval of Image/Video Database, San Jose, January 1998.
(PS.GZ/PDF)

C.-Y. Lin and S.-F. Chang, Semi-Fragile Watermarking for Authenticating JPEG Visual Content, SPIE Security and Watermarking of Multimedia Contents II, EI '00, San Jose, CA, Jan. 2000.
(PS.GZ/PDF)

C.-Y. Lin, Watermarking and Digital Signature Techniques for Multimedia Authentication and Copyright Protection, Doctoral Dissertation, Graduate School of Arts and Sciences, Columbia University, 2000 (Advisor: Prof. Chang).
(PS.GZ/PDF)

L. Xie, K. Maeno, Q. Sun, C.-Y. Lin, S.-F. Chang, Benchmarking for SARI Image Authentication System, ADVENT Tech Report, Nov. 2002.
(PS.GZ/PDF)

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Last updated: June 12, 2002.