RST-Invariant Semi-fragile Image Authentication Based on DWT-Coefficient Quantization

Authors:
Mathias Schlauweg;Erika Müller
Affiliations:
Institute of Communications Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany 18119;Institute of Communications Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany 18119
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

Citing 4
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Abstract

In this paper, we propose an image moment-based geometric nor malization to be applied before embedding and extracting a digital watermark in the DWT-domain of JPEG2000. A semi-fragile signature, generated from the normalized host signal, afterwards, is embedded for image authentication. The new system is tested extensively and per formance results are compared to those of methods proposed by other authors. Our new semi-fragile image authentica tion is robust against non-malicious modifications, such as lossy compression, noise, image blurring and sharpening, changes of luminance and contrast as well as scaling, rotation, translation, and shearing.