Paper
12 November 2001 Watermarking capacity in the presence of multiple watermarks and a partially known channel
Author Affiliations +
Proceedings Volume 4518, Multimedia Systems and Applications IV; (2001) https://doi.org/10.1117/12.448205
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States
Abstract
The effect of a partially known watermarking channel, additive noise, and multiple watermarks on the watermarking capacity region is studied. A channel can be partially known because of the following reasons : (a) randomly time-varying channel characteristics, (b) unknown attacks by an adversary, (c) uncertainty due to estimation errors such as in oblivious watermarking techniques. A mathematical model for this scenario is introduced. No assumptions are made regarding the probability distribution of the channel. Lower and upper bounds on the feasible watermarking rate region are derived. It is shown that, in terms of watermarking capacity, it is better to cancel the effect of an interfering watermark than to treat is as noise. As a special case, it is also observed that the capacity estimates based on the popular additive Gaussian noise model tend to either over or under estimate the capacity for a single watermark channel. Numerical results are also presented. Finally, we observe that the proposed mathematical model can be applied to real-life applications such as image/video watermarking. Image processing operations such as scaling, geometrical transformations etc. that distort the image (not just add noise) fall under the proposed mathematical model.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajarathnam Chandramouli "Watermarking capacity in the presence of multiple watermarks and a partially known channel", Proc. SPIE 4518, Multimedia Systems and Applications IV, (12 November 2001); https://doi.org/10.1117/12.448205
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Cited by 6 scholarly publications.
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KEYWORDS
Digital watermarking

Mathematical modeling

Error analysis

Signal to noise ratio

Distortion

Gadolinium

Interference (communication)

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