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DSP09-dtcwt-wm Source Code | ||||||||
This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI)
Department of the University of Salzburg led by Andreas Uhl.
Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and
Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood
industry.
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MATLAB code implementing and testing the blind DT-CWT domain additive spread-spectrum watermark detector
proposed in the paper
Abstract: In this paper, we adapt two blind detector structures for additive spread-spectrum image watermarking to the host signal characteristics of the Dual-Tree Complex Wavelet Transform (DT-CWT) domain coefficients. The research is motivated by the superior perceptual characteristics of the DT-CWT and its active use in watermarking. To improve the numerous existing watermarking schemes in which the host signal is modeled by a Gaussian distribution, we show that the Generalized Gaussian nature of Dual-Tree detail subband statistics can be exploited for better detector performance. We found that the Rao detector is more practical than the likelihood-ratio test for our detection problem. We experimentally investigate the robustness of the proposed detectors under JPEG and JPEG2000 attacks and assess the perceptual quality of the watermarked images. The results demonstrate that our alterations allow significantly better blind watermark detection performance in the DT-CWT domain than the widely used linear-correlation detector. Links
Test Images
See README for details. The code is available upon request. | ||||||||
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