Decomposing Joint Distortion for Adaptive Steganography
Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for non...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Weiming [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on circuits and systems for video technology - New York, NY : Institute of Electrical and Electronics Engineers, 1991, 27(2017), 10, Seite 2274-2280 |
|---|---|
| Übergeordnetes Werk: |
volume:27 ; year:2017 ; number:10 ; pages:2274-2280 |
| Links: |
|---|
| DOI / URN: |
10.1109/TCSVT.2016.2587388 |
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| 520 | |a Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. | ||
| 650 | 4 | |a Adaptation models | |
| 650 | 4 | |a Computational complexity | |
| 650 | 4 | |a Encoding | |
| 650 | 4 | |a Distortion | |
| 650 | 4 | |a nonadditive distortion | |
| 650 | 4 | |a Covert communication | |
| 650 | 4 | |a steganography | |
| 650 | 4 | |a Additives | |
| 650 | 4 | |a joint distortion | |
| 650 | 4 | |a Entropy | |
| 700 | 1 | |a Zhang, Zhuo |4 oth | |
| 700 | 1 | |a Zhang, Lili |4 oth | |
| 700 | 1 | |a Li, Hanyi |4 oth | |
| 700 | 1 | |a Yu, Nenghai |4 oth | |
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10.1109/TCSVT.2016.2587388 doi PQ20171125 (DE-627)OLC1998175723 (DE-599)GBVOLC1998175723 (PRQ)c1087-37481399a7127be623fbe0b95667218f58665c6c6e53b8fb730836a7f0360b940 (KEY)0203241420170000027001002274decomposingjointdistortionforadaptivesteganography DE-627 ger DE-627 rakwb eng 620 DNB Zhang, Weiming verfasserin aut Decomposing Joint Distortion for Adaptive Steganography 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. Adaptation models Computational complexity Encoding Distortion nonadditive distortion Covert communication steganography Additives joint distortion Entropy Zhang, Zhuo oth Zhang, Lili oth Li, Hanyi oth Yu, Nenghai oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 27(2017), 10, Seite 2274-2280 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:27 year:2017 number:10 pages:2274-2280 http://dx.doi.org/10.1109/TCSVT.2016.2587388 Volltext http://ieeexplore.ieee.org/document/7505924 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 27 2017 10 2274-2280 |
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10.1109/TCSVT.2016.2587388 doi PQ20171125 (DE-627)OLC1998175723 (DE-599)GBVOLC1998175723 (PRQ)c1087-37481399a7127be623fbe0b95667218f58665c6c6e53b8fb730836a7f0360b940 (KEY)0203241420170000027001002274decomposingjointdistortionforadaptivesteganography DE-627 ger DE-627 rakwb eng 620 DNB Zhang, Weiming verfasserin aut Decomposing Joint Distortion for Adaptive Steganography 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. Adaptation models Computational complexity Encoding Distortion nonadditive distortion Covert communication steganography Additives joint distortion Entropy Zhang, Zhuo oth Zhang, Lili oth Li, Hanyi oth Yu, Nenghai oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 27(2017), 10, Seite 2274-2280 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:27 year:2017 number:10 pages:2274-2280 http://dx.doi.org/10.1109/TCSVT.2016.2587388 Volltext http://ieeexplore.ieee.org/document/7505924 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 27 2017 10 2274-2280 |
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10.1109/TCSVT.2016.2587388 doi PQ20171125 (DE-627)OLC1998175723 (DE-599)GBVOLC1998175723 (PRQ)c1087-37481399a7127be623fbe0b95667218f58665c6c6e53b8fb730836a7f0360b940 (KEY)0203241420170000027001002274decomposingjointdistortionforadaptivesteganography DE-627 ger DE-627 rakwb eng 620 DNB Zhang, Weiming verfasserin aut Decomposing Joint Distortion for Adaptive Steganography 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. Adaptation models Computational complexity Encoding Distortion nonadditive distortion Covert communication steganography Additives joint distortion Entropy Zhang, Zhuo oth Zhang, Lili oth Li, Hanyi oth Yu, Nenghai oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 27(2017), 10, Seite 2274-2280 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:27 year:2017 number:10 pages:2274-2280 http://dx.doi.org/10.1109/TCSVT.2016.2587388 Volltext http://ieeexplore.ieee.org/document/7505924 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 27 2017 10 2274-2280 |
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10.1109/TCSVT.2016.2587388 doi PQ20171125 (DE-627)OLC1998175723 (DE-599)GBVOLC1998175723 (PRQ)c1087-37481399a7127be623fbe0b95667218f58665c6c6e53b8fb730836a7f0360b940 (KEY)0203241420170000027001002274decomposingjointdistortionforadaptivesteganography DE-627 ger DE-627 rakwb eng 620 DNB Zhang, Weiming verfasserin aut Decomposing Joint Distortion for Adaptive Steganography 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. Adaptation models Computational complexity Encoding Distortion nonadditive distortion Covert communication steganography Additives joint distortion Entropy Zhang, Zhuo oth Zhang, Lili oth Li, Hanyi oth Yu, Nenghai oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 27(2017), 10, Seite 2274-2280 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:27 year:2017 number:10 pages:2274-2280 http://dx.doi.org/10.1109/TCSVT.2016.2587388 Volltext http://ieeexplore.ieee.org/document/7505924 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 27 2017 10 2274-2280 |
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10.1109/TCSVT.2016.2587388 doi PQ20171125 (DE-627)OLC1998175723 (DE-599)GBVOLC1998175723 (PRQ)c1087-37481399a7127be623fbe0b95667218f58665c6c6e53b8fb730836a7f0360b940 (KEY)0203241420170000027001002274decomposingjointdistortionforadaptivesteganography DE-627 ger DE-627 rakwb eng 620 DNB Zhang, Weiming verfasserin aut Decomposing Joint Distortion for Adaptive Steganography 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. Adaptation models Computational complexity Encoding Distortion nonadditive distortion Covert communication steganography Additives joint distortion Entropy Zhang, Zhuo oth Zhang, Lili oth Li, Hanyi oth Yu, Nenghai oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 27(2017), 10, Seite 2274-2280 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:27 year:2017 number:10 pages:2274-2280 http://dx.doi.org/10.1109/TCSVT.2016.2587388 Volltext http://ieeexplore.ieee.org/document/7505924 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 27 2017 10 2274-2280 |
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Zhang, Weiming |
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Zhang, Weiming |
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10.1109/TCSVT.2016.2587388 |
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620 |
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decomposing joint distortion for adaptive steganography |
| title_auth |
Decomposing Joint Distortion for Adaptive Steganography |
| abstract |
Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. |
| abstractGer |
Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. |
| abstract_unstemmed |
Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis. |
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10 |
| title_short |
Decomposing Joint Distortion for Adaptive Steganography |
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http://dx.doi.org/10.1109/TCSVT.2016.2587388 http://ieeexplore.ieee.org/document/7505924 |
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Zhang, Zhuo Zhang, Lili Li, Hanyi Yu, Nenghai |
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Zhang, Zhuo Zhang, Lili Li, Hanyi Yu, Nenghai |
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10.1109/TCSVT.2016.2587388 |
| up_date |
2024-07-04T04:27:31.519Z |
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