Efficient JPEG Steganography Using Domain Transformation of Embedding Entropy

Nowadays, JPEG steganographic schemes, e.g., J-UNIWARD, which take into account the effects of embedding in the spatial domain tend to exhibit higher security and introduce less artifacts that can be captured by the prevalent steganalyzers. Following the paradigm, this letter proposes a new design o...

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Bibliographic Details
Published in:IEEE signal processing letters 2018-06, Vol.25 (6), p.773-777
Main Authors: Hu, Xianglei, Ni, Jiangqun, Shi, Yun-Qing
Format: Article
Language:English
Subjects:
Block embedding entropy (BEE)
Discrete cosine transforms
Distortion
Distortion measurement
domain transformation
Entropy
JPEG steganography
Payloads
Security
Transform coding
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Summary:Nowadays, JPEG steganographic schemes, e.g., J-UNIWARD, which take into account the effects of embedding in the spatial domain tend to exhibit higher security and introduce less artifacts that can be captured by the prevalent steganalyzers. Following the paradigm, this letter proposes a new design of the distortion measure for JPEG steganography by incorporating the statistics of both the spatial and discrete cosine transform (DCT) domains. The spatial statistics of the decompressed JPEG images are first well characterized with distortion measures of some efficient steganographic schemes in the spatial domain, e.g., HILL, and the resulting embedding entropies of spatial blocks in alignment with DCT blocks are then transformed into the DCT domain to obtain the distortion measures for JPEG steganography. Experimental results show that the proposed method outperforms considerably other state-of-the-art JPEG steganographic schemes, i.e., J-UNIWARD and UERD, for the most effective feature set GFR at present, and rivals them for other feature sets, e.g., DCTR and CC-JRM.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2018.2818674