Energy allocation for high-capacity watermarking in the presence of compression
Deepa Kundur · 2002
In this work, we take an information theoretic approach to analyze the watermark communication problem in the presence of perceptual coding. Our effective watermark channel is modeled as a set of parallel independent zero-mean uniformly distributed additive noise channels. Energy allocation principles are identified to maximize the capacity results. Our findings are compared to the traditional water-filling solution and shed light on strategies to maximize the data hiding rate in the presence of compression.