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2006 IEEE International Conference on Multimedia and Expo
Spatially Adaptive Wavelet Thresholding for Image Watermarking
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Mahmood Al-khassaweneh, Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI. e-mail: alkhassa@egr.msu.edu
Selin Aviyente, Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI. e-mail: aviyente@egr.msu.edu
In this paper, we introduce a new robust image watermarking technique based on the Discrete Wavelet Transform (DWT). The proposed method extends the concept of image denoising to watermarking. A spatially adaptive wavelet thresholding method is used to select the coefficients to be water-marked. A multi-bit watermark is embedded into the discrete wavelet coefficients of the host image. A semi-blind water-mark extraction algorithm is presented and the threshold for a given probability of false alarm is derived. The simulation results show that the proposed method outperforms a well-known DWT based watermarking method under most attacks including JPEG compression.
Citation:
Mahmood Al-khassaweneh, Selin Aviyente, "Spatially Adaptive Wavelet Thresholding for Image Watermarking," icme, pp.1597-1600, 2006 IEEE International Conference on Multimedia and Expo, 2006
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