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Proceedings Paper

Digital audio watermarking using moment-preserving thresholding
Author(s): Doo Seop Choi; Hae Kyung Jung; Hyuk Choi; Taejeong Kim
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Paper Abstract

The Moment-Preserving Thresholding technique for digital images has been used in digital image processing for decades, especially in image binarization and image compression. Its main strength lies in that the binary values that the MPT produces as a result, called representative values, are usually unaffected when the signal being thresholded goes through a signal processing operation. The two representative values in MPT together with the threshold value are obtained by solving the system of the preservation equations for the first, second, and third moment. Relying on this robustness of the representative values to various signal processing attacks considered in the watermarking context, this paper proposes a new watermarking scheme for audio signals. The watermark is embedded in the root-sum-square (RSS) of the two representative values of each signal block using the quantization technique. As a result, the RSS values are modified by scaling the signal according to the watermark bit sequence under the constraint of inaudibility relative to the human psycho-acoustic model. We also address and suggest solutions to the problem of synchronization and power scaling attacks. Experimental results show that the proposed scheme maintains high audio quality and robustness to various attacks including MP3 compression, re-sampling, jittering, and, DA/AD conversion.

Paper Details

Date Published: 17 September 2007
PDF: 8 pages
Proc. SPIE 6700, Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications, 67000N (17 September 2007); doi: 10.1117/12.731537
Show Author Affiliations
Doo Seop Choi, Seoul National Univ. (South Korea)
Hae Kyung Jung, Seoul National Univ. (South Korea)
Hyuk Choi, Seoul National Univ. (South Korea)
Taejeong Kim, Seoul National Univ. (South Korea)

Published in SPIE Proceedings Vol. 6700:
Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications
Gerhard X. Ritter; Mark S. Schmalz; Junior Barrera; Jaakko T. Astola, Editor(s)

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