Title :
Implications for high capacity data hiding in the presence of lossy compression
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
We derive capacity bounds for watermarking and data hiding in the presence of just noticeable difference (JND) perceptual coding for a class of techniques that do not suffer from host signal interference. By modeling the lossy compression distortions on the hidden data using non-Gaussian statistics, we demonstrate that binary antipodal channel codes achieve capacity. It is shown that the data hiding capacity is at most equal to the loss in storage efficiency bit rate if watermarking and quantization for lossy compression occur in the same domain
Keywords :
channel capacity; channel coding; data compression; data encapsulation; quantisation (signal); security of data; JND perceptual coding; binary antipodal channel codes; capacity bounds; high capacity data hiding; just noticeable difference; lossy compression distortions; multimedia signal; nonGaussian statistics; quantization; storage efficiency bit rate; watermarking; Bit rate; Data encapsulation; Educational institutions; Information retrieval; Quantization; Read only memory; Signal design; Signal processing; Statistics; Water storage;
Conference_Titel :
Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-0540-6
DOI :
10.1109/ITCC.2000.844177