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This paper addresses the issue of robust data hiding in the presence of perceptual coding. Two common classes of data hiding schemes are considered: spread spectrum and quantization-based techniques. We identify analytically the advantages of both approaches under the lossy compression class of attacks. Based on our mathematical model, a novel hybrid data hiding algorithm which exploits the best of both worlds is presented. Theoretical and simulation results demonstrate the superior robustness of the resulting hybrid scheme.

<title>Transform-based hybrid data hiding for improved robustness in the presence of perceptual coding</title>