Research Article
Optimal quantization-based steganography for adaptive hiding
@INPROCEEDINGS{10.1109/CHINACOM.2008.4685268, author={Guangjie Liu and Yuewei Dai and Zhiquan Wang and Jingyu Yang}, title={Optimal quantization-based steganography for adaptive hiding}, proceedings={1st International ICST Workshop on Multimedia Security in Communication}, publisher={IEEE}, proceedings_a={MUSIC}, year={2008}, month={11}, keywords={Steganography; Quantization-based; adaptive hiding; Pair value differenc}, doi={10.1109/CHINACOM.2008.4685268} }- Guangjie Liu
Yuewei Dai
Zhiquan Wang
Jingyu Yang
Year: 2008
Optimal quantization-based steganography for adaptive hiding
MUSIC
IEEE
DOI: 10.1109/CHINACOM.2008.4685268
Abstract
In this paper, we proposed a general framework for designing a good algorithm based on the optimal quantization based steganography (QBS). After the description of the concepts of QBS, we present an implement of simple QBS(SQBS) on the pair value difference domain. In our implement, we adopt the weighted sum of the distance between the cover and stego signals to measure the distortion, and construct an optimization problem with the synthesized index combined by the capacity and distortion as the goal, and the capacity and distortion as the restriction. Through the dynamic programming, the optimal Qbook is obtained to perform adaptive data hiding. Our experiments show the proposed method can achieve good performance both on the capacity and distortion.
