Model-based image steganography using asymmetric embedding scheme.
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| Title: | Model-based image steganography using asymmetric embedding scheme. |
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| Authors: | Hu, Xianglei1, Ni, Jiangqun2, Su, Wenkang1, Huanga, Junwen1 |
| Source: | Journal of Electronic Imaging. Jul/Aug2018, Vol. 27 Issue 4, p1-7. 7p. |
| Subjects: | Cryptography, Image processing, Heuristic, Pixels, Image analysis |
| Abstract: | Recently, some steganographic schemes, which take into account the interaction among adjacent modifications, have emerged to tackle the issue of nonadditive embedding and exhibited higher security when compared with the original additive schemes. However, the performances of these schemes are volatile and very sensitive to both the heuristic parameters and the choice of initial additive distortion functions. We proposed a model-based steganographic scheme, which incorporates the adjacent embedding information without relying on any heuristic parameters. Following the spirit of prior arts, the proposed scheme divides the cover image into several interleaved sublattices and embeds messages on each sublattice sequentially. Adjacent modifications are utilized as a priori knowledge to optimize the asymmetric change probabilities of modifying each pixel by +1 and -1. Experimental results show that the proposed scheme can rival or outperform the prior arts and, moreover, maintains a stable security performance, irrespective of any initial additive distortion or any steganalysis detector. © 2018 SPIE and IS&T [DOI: 10.1117/1.JEI.27.4.043023] [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131642558 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Model-based image steganography using asymmetric embedding scheme. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hu%2C+Xianglei%22">Hu, Xianglei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ni%2C+Jiangqun%22">Ni, Jiangqun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Su%2C+Wenkang%22">Su, Wenkang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Huanga%2C+Junwen%22">Huanga, Junwen</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Electronic+Imaging%22">Journal of Electronic Imaging</searchLink>. Jul/Aug2018, Vol. 27 Issue 4, p1-7. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic%22">Heuristic</searchLink><br /><searchLink fieldCode="DE" term="%22Pixels%22">Pixels</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Recently, some steganographic schemes, which take into account the interaction among adjacent modifications, have emerged to tackle the issue of nonadditive embedding and exhibited higher security when compared with the original additive schemes. However, the performances of these schemes are volatile and very sensitive to both the heuristic parameters and the choice of initial additive distortion functions. We proposed a model-based steganographic scheme, which incorporates the adjacent embedding information without relying on any heuristic parameters. Following the spirit of prior arts, the proposed scheme divides the cover image into several interleaved sublattices and embeds messages on each sublattice sequentially. Adjacent modifications are utilized as a priori knowledge to optimize the asymmetric change probabilities of modifying each pixel by +1 and -1. Experimental results show that the proposed scheme can rival or outperform the prior arts and, moreover, maintains a stable security performance, irrespective of any initial additive distortion or any steganalysis detector. © 2018 SPIE and IS&T [DOI: 10.1117/1.JEI.27.4.043023] [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering 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: 10.1117/1.JEI.27.4.043023 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Subjects: – SubjectFull: Cryptography Type: general – SubjectFull: Image processing Type: general – SubjectFull: Heuristic Type: general – SubjectFull: Pixels Type: general – SubjectFull: Image analysis Type: general Titles: – TitleFull: Model-based image steganography using asymmetric embedding scheme. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu, Xianglei – PersonEntity: Name: NameFull: Ni, Jiangqun – PersonEntity: Name: NameFull: Su, Wenkang – PersonEntity: Name: NameFull: Huanga, Junwen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul/Aug2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 10179909 Numbering: – Type: volume Value: 27 – Type: issue Value: 4 Titles: – TitleFull: Journal of Electronic Imaging Type: main |
| ResultId | 1 |
