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Proceedings Paper

Statistical amplitude scale estimation for quantization-based watermarking
Author(s): Ivo D Shterev; Reginald L. Lagendijk; Richard Heusdens
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Paper Abstract

Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore the scaling factor has to be accounted for either at the encoder, or at the decoder, prior to watermark decoding. In this paper we derive the marginal probability density model for the watermarked and attacked data, when the attack channel consists of amplitude scaling followed by additive noise. The encoder is Quantization Index Modulation with Distortion Compensation. Based on this model we obtain two estimation procedures for the scale parameter. The first approach is based on Fourier Analysis of the probability density function. The estimation of the scaling parameter relies on the structure of the received data. The second approach that we obtain is the Maximum Likelihood estimator of the scaling factor. We study the performance of the estimation procedures theoretically and experimentally with real audio signals, and compare them to other well known approaches for amplitude scale estimation in the literature.

Paper Details

Date Published: 22 June 2004
PDF: 9 pages
Proc. SPIE 5306, Security, Steganography, and Watermarking of Multimedia Contents VI, (22 June 2004); doi: 10.1117/12.526432
Show Author Affiliations
Ivo D Shterev, Technische Univ. Delft (Netherlands)
Reginald L. Lagendijk, Technische Univ. Delft (Netherlands)
Richard Heusdens, Technische Univ. Delft (Netherlands)


Published in SPIE Proceedings Vol. 5306:
Security, Steganography, and Watermarking of Multimedia Contents VI
Edward J. Delp; Ping W. Wong, Editor(s)

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