Steganography in beautified images
Existing distortion functions in steganography which achieved high undetectability are designed for unprocessed natural image. Nowadays, a large number of images are filtered before transmitting for the sake of beautification. In this situation, existing distortion functions should be improved to fi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2019-03-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2019116?viewType=HTML |
| _version_ | 1819349612839829504 |
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| author | Liyun Liu Zichi Wang Zhenxing Qian Xinpeng Zhang Guorui Feng |
| author_facet | Liyun Liu Zichi Wang Zhenxing Qian Xinpeng Zhang Guorui Feng |
| author_sort | Liyun Liu |
| collection | DOAJ |
| description | Existing distortion functions in steganography which achieved high undetectability are designed for unprocessed natural image. Nowadays, a large number of images are filtered before transmitting for the sake of beautification. In this situation, existing distortion functions should be improved to fit the properties of these beautified images. This paper proposes a distortion function optimization method for steganography on beautified images. Given an unprocessed image, a popular image beautification software is employed to produce two similar beautified images. One of them is used for embedding and the other one is employed as reference. Guided by the reference, existing distortion functions are improved by distinguishing the embedding costs for ±1 embedding. After embedding, the stego image is closer to the reference, which results in a higher undetectability against steganalysis. Experimental results also proved the increasing of undetectability when examined by modern steganalytic tools. |
| first_indexed | 2024-12-24T19:03:18Z |
| format | Article |
| id | doaj.art-88d436178e8b4156b9056fbd315634f6 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-24T19:03:18Z |
| publishDate | 2019-03-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-88d436178e8b4156b9056fbd315634f62022-12-21T16:43:09ZengAIMS PressMathematical Biosciences and Engineering1551-00182019-03-011642322233310.3934/mbe.2019116Steganography in beautified imagesLiyun Liu0Zichi Wang1Zhenxing Qian2Xinpeng Zhang3Guorui Feng4The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.Existing distortion functions in steganography which achieved high undetectability are designed for unprocessed natural image. Nowadays, a large number of images are filtered before transmitting for the sake of beautification. In this situation, existing distortion functions should be improved to fit the properties of these beautified images. This paper proposes a distortion function optimization method for steganography on beautified images. Given an unprocessed image, a popular image beautification software is employed to produce two similar beautified images. One of them is used for embedding and the other one is employed as reference. Guided by the reference, existing distortion functions are improved by distinguishing the embedding costs for ±1 embedding. After embedding, the stego image is closer to the reference, which results in a higher undetectability against steganalysis. Experimental results also proved the increasing of undetectability when examined by modern steganalytic tools.https://www.aimspress.com/article/doi/10.3934/mbe.2019116?viewType=HTMLsteganographyfilter imagedistortion function |
| spellingShingle | Liyun Liu Zichi Wang Zhenxing Qian Xinpeng Zhang Guorui Feng Steganography in beautified images Mathematical Biosciences and Engineering steganography filter image distortion function |
| title | Steganography in beautified images |
| title_full | Steganography in beautified images |
| title_fullStr | Steganography in beautified images |
| title_full_unstemmed | Steganography in beautified images |
| title_short | Steganography in beautified images |
| title_sort | steganography in beautified images |
| topic | steganography filter image distortion function |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2019116?viewType=HTML |
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