A Quantitation Method to the Imperceptibility of Hiding-Vector in Multi-dimensional Hiding Space

YUAN Jian; HUANG Yongfeng; LI Xing

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Article Navigation > Chinese Journal of Electronics > 2013 > 22(4): 826-832

YUAN Jian, HUANG Yongfeng, LI Xing, “A Quantitation Method to the Imperceptibility of Hiding-Vector in Multi-dimensional Hiding Space,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 826-832, 2013,

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YUAN Jian, HUANG Yongfeng, LI Xing, “A Quantitation Method to the Imperceptibility of Hiding-Vector in Multi-dimensional Hiding Space,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 826-832, 2013,

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A Quantitation Method to the Imperceptibility of Hiding-Vector in Multi-dimensional Hiding Space

Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Funds: This work is supported by the National High Technology Research and Development Program of China (863 Program) (No.2011AA010704), the National Natural Science Foundation of China (No.61271392), and Tsinghua University Initiative Scientific Research Program (No.20111081023).

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Corresponding author: YUAN Jian
Received Date: 2012-09-01
Rev Recd Date: 2013-01-01
Publish Date: 2013-09-25

Abstract

Abstract

Currently, few general methods have been suggested to quantitate the imperceptibility among various hiding algorithms. Especially, it is a challenge to quantitate the imperceptibility of the hiding-vector, which is consisted of orthogonal hiding algorithms in the multidimensional hiding space. In this paper, a novel model of general imperceptibility quantitation was proposed. According to this model, a quantitation method based on the relative entropy was designed. It is proved under this quantitation method that there exists the global maximal imperceptibility for any specified hiding-vector capacity. An optimization algorithm was proposed to approach this maximum by adjusting the allocation of secret message into each components of the hiding-vector. Experiments with VoI Pand bitmap multi-dimensional hiding space validated the effectiveness of the designed quantitation method and the proposed optimization algorithm.
- Imperceptibility,
- Multi-dimensional hiding space,
- Steganography

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References(19)

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