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

Volume

3

fYear

2001

fDate

2001

Firstpage

1985

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941337

Filename

941337