Analysis of position based watermarking

This paper extends the position based watermarking (PBW) technique introduced by Borges and Mayer (Position based watermarkings, 2003) and provides a detailed performance analysis considering additive white Gaussian noise and collusion attacks. We significantly improve the tradeoff between fidelity and robustness of our previous research on this subject by exploiting the informed embedding and informed coding paradigms. In contrast to traditional watermarking approaches such as least significant bit embedding, spread spectrum modulation and dirty paper codes, the content of the embedded watermark blocks do not need to carry information. Our unique approach maps the information according to specific locations in the image where we embed small watermark blocks. We provide theoretical analyses and experimental results to compare with the performance of the spread spectrum technique. These analyses and experiments confirm our superior tradeoff between robustness and transparency and also show the superior robustness of PBW to collusion attacks.

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