Title :
Energy allocation for high-capacity watermarking in the presence of compression
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
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
Keywords :
copy protection; data encapsulation; image coding; capacity; compression; data hiding rate; energy allocation; high-capacity watermarking; information theoretic approach; parallel independent zero-mean uniformly distributed additive noise channels; perceptual coding; watermark channel; watermark communication problem; AWGN; Additive white noise; Data encapsulation; Degradation; Gaussian noise; Proposals; Quantization; Robustness; Thumb; Watermarking;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900985
