Quality-Optimized Image Steganography Subject to Anti-Steganalysis Constraint

In this paper, we propose an architecture that combines a quantization-based steganogrphic scheme with a steganalysis system, operated in a closed-loop manner with a cost function for minimization, to enhance the anti-steganalysis capability and image quality after data embedding. In this architectu...

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Bibliographic Details
Published in2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 2; pp. II-821 - II-824
Main Authors Guo-Shiang Lin, Yi-Ting Chang, We-Nung Lie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Bit error rate
Computer architecture
Computer science
Convergence
Cost function
Data engineering
Data mining
HVS
Image quality
Simulated annealing
steganalysis
Steganography
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ISBN9781424407279
1424407273
ISSN1520-6149
DOI10.1109/ICASSP.2007.366362

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Summary:In this paper, we propose an architecture that combines a quantization-based steganogrphic scheme with a steganalysis system, operated in a closed-loop manner with a cost function for minimization, to enhance the anti-steganalysis capability and image quality after data embedding. In this architecture, a controller based on the SA (simulated annealing) technique is adopted to guarantee fast and accurate convergence. Our proposed system is applied to the data embedding of JPEG-compressed images. Compared with the original embedding algorithm in (Seki, Y, et al., 2005), a better image quality (by an average improvement of 6.48 dB) can be achieved and simultaneously the anti-steganalysis capability is enhanced significantly.
ISBN:9781424407279
1424407273
ISSN:1520-6149
DOI:10.1109/ICASSP.2007.366362