Sign Correlation Detector for Blind Image Watermarking in the DCT Domain

Authors:
Xiaochen Bo;Lincheng Shen;Wensen Chang
Affiliations:
-;-;-
Venue:
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2001

Citing 4
Cited 1

A DCT-domain system for robust image watermarking

Signal Processing
Resolving rightful ownerships with invisible watermarking techniques: limitations, attacks, and implications

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Secure spread spectrum watermarking for multimedia

IEEE Transactions on Image Processing
A mathematical analysis of the DCT coefficient distributions for images

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Watermarking NURBS surfaces

PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II

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Abstract

Digital watermarking is a key technique for protecting intellectual property of digital media. Due to the ability to detect watermark without the original image, blind watermarking is very useful if there are too many images to be authenticated. In this paper, we pose the difference on mathematical models between private watermark detection and blind watermark detection, and then point out the limitation of linear correlation detector (LCD). After reviewing some statistical models which have been proposed to better characterize the DCT coefficients of images, we deduce a new blind watermark detector -- sign correlation detector (SCD) based on the Laplacian distribution model. Computing result of asymptotic relative efficiency demonstrates the effectiveness of the detector. A series of experiments show its robustness.