Paper
29 April 2002 Compression-compatible digital watermark algorithm for authenticity verification and localization
Dominque Albert Winne, Henry D. Knowles, David R. Bull, Cedric Nishan Canagarajah
Author Affiliations +
Proceedings Volume 4675, Security and Watermarking of Multimedia Contents IV; (2002) https://doi.org/10.1117/12.465293
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
In this paper, a new fragile watermarking system for authenticity verification is presented. This technique can detect and locate minor changes in a marked image. The method can be implemented in any domain. The embedding procedure modifies the representative value of a selected vector of coefficients according to the embedded watermark bit value. The mapping of the bits to the representative values and the formation of the orthogonal vectors are secured using a symmetric key system. The detector is a standalone system that does not need any prior knowledge about the original image or the embedded watermark. A tolerance bandwidth can be set to a minimum to reduce the level of false negative detector responses. Assuming there is a consistent pattern of tampering, an optimization algorithm has been designed to further reduce the false negative probability. By embedding the watermark in the same domain as is used for compression, the system can allow compression as an undetectable content preserving operation if the amount of quantization is known in advance. Experimental results of this system embedded in the DCT and Wavelet domain illustrate the performance and effectiveness compared with other reported fragile watermarking methods.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dominque Albert Winne, Henry D. Knowles, David R. Bull, and Cedric Nishan Canagarajah "Compression-compatible digital watermark algorithm for authenticity verification and localization", Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); https://doi.org/10.1117/12.465293
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Sensors

Detection and tracking algorithms

Image compression

Quantization

Tolerancing

Distortion

Back to Top