TY - GEN
T1 - Non-uniform quantization in breaking HUGO
AU - Chen, Licong
AU - Shi, Yun Q.
AU - Sutthiwan, Patchara
AU - Niu, Xinxin
N1 - Funding Information:
This work has been partially supported by National Natural Science Foundation of China (61170271, 31100416).
PY - 2014
Y1 - 2014
N2 - In breaking HUGO (Highly Undetectable Stegonagraphy), an advanced steganographic scheme recently developed for uncompressed images, the research on steganalysis has made rapid progress recently. That is, more advanced statistical models often utilizing high dimensional features have been adopted. It is noted that there is one thing in common for all of these newly developed advanced steganalytic schemes. That is, uniform quantization has been applied to residual images in order to reduce the feature dimensionality. In this paper, non-uniform quantization is proposed, developed and utilized to break the HUGO. In constructing non-uniform quantizers, a small portion of available samples from both cover and stego images are utilized to provide needed statistics. Utilizing non-uniform quantization we can achieve better steganalytic performance than using uniform quantization under, otherwise, the same framework.
AB - In breaking HUGO (Highly Undetectable Stegonagraphy), an advanced steganographic scheme recently developed for uncompressed images, the research on steganalysis has made rapid progress recently. That is, more advanced statistical models often utilizing high dimensional features have been adopted. It is noted that there is one thing in common for all of these newly developed advanced steganalytic schemes. That is, uniform quantization has been applied to residual images in order to reduce the feature dimensionality. In this paper, non-uniform quantization is proposed, developed and utilized to break the HUGO. In constructing non-uniform quantizers, a small portion of available samples from both cover and stego images are utilized to provide needed statistics. Utilizing non-uniform quantization we can achieve better steganalytic performance than using uniform quantization under, otherwise, the same framework.
KW - Co-occurrence matrix
KW - HUGO (Highly Undetectable Stegonagraphy)
KW - Mapping co-occurrence
KW - Multidimensional co-occurrence
KW - Non-uniform quantization
KW - Steganalysis
KW - Steganography
KW - Uniform quantization
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U2 - 10.1007/978-3-662-43886-2_4
DO - 10.1007/978-3-662-43886-2_4
M3 - Conference contribution
AN - SCOPUS:84904742254
SN - 9783662438855
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 48
EP - 62
BT - Digital-Forensics and Watermarking - 12th International Workshop, IWDW 2013, Revised Selected Papers
PB - Springer Verlag
T2 - 12th International Workshop on Digital-Forensics and Watermarking, IWDW 2013
Y2 - 1 October 2013 through 4 October 2013
ER -