Mismatching perceptual models for effective watermarking in the presence of compression

In this paper, we concentrate on the problem of robust watermarking in the presence of perceptual coding. We first present a watermarking approach called Robust Reference Watermarking (RRW) which can be incorporated into a broad class of watermarking algorithms to improve their performance. Through analysis of this scheme we demonstrate how embedding the watermark using a different perceptual model and domain than for compression can result in improved watermark extraction and detection reliability. Simulation results are also presented to verify our theoretical observations.

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