Title :
Set partitioning in oblivious data hiding
Author :
Gang, Litao ; Akansu, Ali N. ; Ramkumar, Mahalingam
Author_Institution :
New Jersey Center for Multimedia Res., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
In oblivious steganography, host noise suppression is a great concern as the watermark signal energy is usually much less than that of the host signal. We model the data hiding as a more general H0/H1 hypothesis testing problem. Decision making is based on the statistical distinction between H0 and H1. A simple embedding scheme, viz., set partitioning, is proposed. The coefficients are divided into two sets to represent bit value 1 and 0. The average distortion introduced is calculated. Its optimum and suboptimal detection is discussed in detail. Analysis and simulation studies show improvement over existing schemes
Keywords :
copy protection; data encapsulation; decision theory; interference suppression; set theory; signal processing; decision making; digital watermarking; host noise suppression; hypothesis testing problem; multimedia copyright protection; oblivious data hiding; oblivious steganography; optimum detection; set partitioning; signal processing; statistical distinction; suboptimal detection; watermark signal energy; Analytical models; Data encapsulation; Decision making; Decoding; Detectors; Noise robustness; Steganography; Testing; Watermarking; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941337
