DOUBLE EMBEDDING IN THE QUANTIZATION INDEX MODULATION FRAMEWORK

被引:5
|
作者
Sarkar, A. [1 ]
Manjunath, B. S. [1 ]
机构
[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA
关键词
double embedding; quantization index modulation; repeat-accumulate code; embedding distortion;
D O I
10.1109/ICIP.2009.5414263
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Quantization index modulation (QIM) is a commonly used data hiding technique where a single bit is embedded per coefficient. Here, we propose the use of double embedding in the QIM framework where a single coefficient is modified twice, using two quantizers, to embed two bits. The motivation behind substituting single embedding with double embedding in the QIM framework for a certain steganographic scheme is to increase its hiding rate without significantly increasing the embedding distortion and the stego scheme's detectability against steganalysis. We empirically determine the best way to couple the double embedding framework with a repeat accumulate code based error correction scheme. For moderate noise levels, the use of double embedding is seen to be significantly advantageous over single embedding.
引用
收藏
页码:3653 / 3656
页数:4
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