Efficient JPEG Steganography Using Domain Transformation of Embedding Entropy.
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| Title: | Efficient JPEG Steganography Using Domain Transformation of Embedding Entropy. |
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| Authors: | Hu, Xianglei1 springhuxl@gmail.com, Ni, Jiangqun2 issjqni@mail.sysu.edu.cn, Shi, Yun-Qing3 shi@njit.edu |
| Source: | IEEE Signal Processing Letters. Jun2018, Vol. 25 Issue 6, p773-777. 5p. |
| Subjects: | Cryptography, JPEG (Image coding standard), Embeddings (Mathematics), Optical distortion, Computational complexity, Computer network resources |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient JPEG Steganography Using Domain Transformation of Embedding Entropy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hu%2C+Xianglei%22">Hu, Xianglei</searchLink><relatesTo>1</relatesTo><i> springhuxl@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ni%2C+Jiangqun%22">Ni, Jiangqun</searchLink><relatesTo>2</relatesTo><i> issjqni@mail.sysu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Yun-Qing%22">Shi, Yun-Qing</searchLink><relatesTo>3</relatesTo><i> shi@njit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Signal+Processing+Letters%22">IEEE Signal Processing Letters</searchLink>. Jun2018, Vol. 25 Issue 6, p773-777. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22JPEG+%28Image+coding+standard%29%22">JPEG (Image coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Embeddings+%28Mathematics%29%22">Embeddings (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+distortion%22">Optical distortion</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+resources%22">Computer network resources</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/LSP.2018.2818674 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 773 Subjects: – SubjectFull: Cryptography Type: general – SubjectFull: JPEG (Image coding standard) Type: general – SubjectFull: Embeddings (Mathematics) Type: general – SubjectFull: Optical distortion Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Computer network resources Type: general Titles: – TitleFull: Efficient JPEG Steganography Using Domain Transformation of Embedding Entropy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu, Xianglei – PersonEntity: Name: NameFull: Ni, Jiangqun – PersonEntity: Name: NameFull: Shi, Yun-Qing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 10709908 Numbering: – Type: volume Value: 25 – Type: issue Value: 6 Titles: – TitleFull: IEEE Signal Processing Letters Type: main |
| ResultId | 1 |
