A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost
Steganography aims to conceal secret data into common media, and steganalysis takes the adversarial position by trying to reveal embedding traces. Most of the existing steganographic schemes for spatial images are designed for gray-scale images. Their extensions to color images are often simply proc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8604053/ |
| _version_ | 1818350149938708480 |
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| author | Xinghong Qin Bin Li Shunquan Tan Jishen Zeng |
| author_facet | Xinghong Qin Bin Li Shunquan Tan Jishen Zeng |
| author_sort | Xinghong Qin |
| collection | DOAJ |
| description | Steganography aims to conceal secret data into common media, and steganalysis takes the adversarial position by trying to reveal embedding traces. Most of the existing steganographic schemes for spatial images are designed for gray-scale images. Their extensions to color images are often simply processed by treating each color channel as a single gray image and distributing payload uniformly to different color channels. However, color images are commonly used in daily life, and some effective steganalytic methods recently proposed for color images have improved detection performance with features designed by taking color correlations into consideration. In this paper, we propose a novel steganographic scheme for spatial color images by considering color pixel vectors (CPVs), which are composed of color components in the same spatial location, as embedding units. Embedding costs are directly defined on CPVs, and therefore, intricate relationships among color channels can be explicitly considered, and embedding payload is adaptively assigned to all three color channels. To further enhance the performance, an adapted clustering modification directions strategy is incorporated. The experimental results show that the proposed scheme can effectively resist the steganalytic methods, especially with color-rich model features. |
| first_indexed | 2024-12-13T18:17:16Z |
| format | Article |
| id | doaj.art-abff0056fc8347edb805a80013519a5c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T18:17:16Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-abff0056fc8347edb805a80013519a5c2022-12-21T23:35:49ZengIEEEIEEE Access2169-35362019-01-0178834884610.1109/ACCESS.2019.28913168604053A Novel Steganography for Spatial Color Images Based on Pixel Vector CostXinghong Qin0https://orcid.org/0000-0002-6781-6229Bin Li1https://orcid.org/0000-0002-2613-5451Shunquan Tan2Jishen Zeng3Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, College of Information Engineering, Shenzhen University, Shenzhen, ChinaGuangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, College of Information Engineering, Shenzhen University, Shenzhen, ChinaNational Engineering Laboratory for Big Data System Computing Technology, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, ChinaGuangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, College of Information Engineering, Shenzhen University, Shenzhen, ChinaSteganography aims to conceal secret data into common media, and steganalysis takes the adversarial position by trying to reveal embedding traces. Most of the existing steganographic schemes for spatial images are designed for gray-scale images. Their extensions to color images are often simply processed by treating each color channel as a single gray image and distributing payload uniformly to different color channels. However, color images are commonly used in daily life, and some effective steganalytic methods recently proposed for color images have improved detection performance with features designed by taking color correlations into consideration. In this paper, we propose a novel steganographic scheme for spatial color images by considering color pixel vectors (CPVs), which are composed of color components in the same spatial location, as embedding units. Embedding costs are directly defined on CPVs, and therefore, intricate relationships among color channels can be explicitly considered, and embedding payload is adaptively assigned to all three color channels. To further enhance the performance, an adapted clustering modification directions strategy is incorporated. The experimental results show that the proposed scheme can effectively resist the steganalytic methods, especially with color-rich model features.https://ieeexplore.ieee.org/document/8604053/Color imagepixel vectorsteganographysteganalysisclustering modification directiondistortion function |
| spellingShingle | Xinghong Qin Bin Li Shunquan Tan Jishen Zeng A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost IEEE Access Color image pixel vector steganography steganalysis clustering modification direction distortion function |
| title | A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost |
| title_full | A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost |
| title_fullStr | A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost |
| title_full_unstemmed | A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost |
| title_short | A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost |
| title_sort | novel steganography for spatial color images based on pixel vector cost |
| topic | Color image pixel vector steganography steganalysis clustering modification direction distortion function |
| url | https://ieeexplore.ieee.org/document/8604053/ |
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