Color image steganalysis based on quaternion discrete cosine transform

Meng Xu; Xiangyang Luo; Jinwei Wang; Hao Wang; Meng Xu; Xiangyang Luo; Jinwei Wang; Hao Wang

doi:10.3934/era.2023209

Electronic Research Archive

2023, Volume 31, Issue 7: 4102-4118. doi: 10.3934/era.2023209

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Research article Special Issues

Color image steganalysis based on quaternion discrete cosine transform

1.
State Key Laboratory of Mathematical Engineering and Advanced Computing, Henan 450001, China
2.
Nanjing University of Information Science and Technology, Department of Computer and Software, Nanjing 210044, China
3.
Nanjing University of Science and Technology, School of automation, Nanjing 210014, China

Received: 22 March 2023 Revised: 16 April 2023 Accepted: 08 May 2023 Published: 26 May 2023

With the rapid development and application of Internet technology in recent years, the issue of information security has received more and more attention. Digital steganography is used as a means of secure communication to hide information by modifying the carrier. However, steganography can also be used for illegal acts, so it is of great significance to study steganalysis techniques. The steganalysis technology can be used to solve the illegal steganography problem of computer vision and engineering applications technology. Most of the images in the Internet are color images, and steganalysis for color images is a very critical problem in the field of steganalysis at this stage. Currently proposed algorithms for steganalysis of color images mainly rely on the manual design of steganographic features, and the steganographic features do not fully consider the internal connection between the three channels of color images. In recent years, advanced steganography techniques for color images have been proposed, which brings more serious challenges to color image steganalysis. Quaternions are a good tool to represent color images, and the transformation of quaternions can fully exploit the correlation among color image channels. In this paper, we propose a color image steganalysis algorithm based on quaternion discrete cosine transform, firstly, the image is represented by quaternion, then the quaternion discrete cosine transform is applied to it, and the coefficients obtained from the transformation are extracted to design features of the coeval matrix. The experimental results show that the proposed algorithm works better than the typical color image steganalysis algorithm.
- steganalysis,
- steganography,
- quaternion
Citation: Meng Xu, Xiangyang Luo, Jinwei Wang, Hao Wang. Color image steganalysis based on quaternion discrete cosine transform[J]. Electronic Research Archive, 2023, 31(7): 4102-4118. doi: 10.3934/era.2023209

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Abstract

With the rapid development and application of Internet technology in recent years, the issue of information security has received more and more attention. Digital steganography is used as a means of secure communication to hide information by modifying the carrier. However, steganography can also be used for illegal acts, so it is of great significance to study steganalysis techniques. The steganalysis technology can be used to solve the illegal steganography problem of computer vision and engineering applications technology. Most of the images in the Internet are color images, and steganalysis for color images is a very critical problem in the field of steganalysis at this stage. Currently proposed algorithms for steganalysis of color images mainly rely on the manual design of steganographic features, and the steganographic features do not fully consider the internal connection between the three channels of color images. In recent years, advanced steganography techniques for color images have been proposed, which brings more serious challenges to color image steganalysis. Quaternions are a good tool to represent color images, and the transformation of quaternions can fully exploit the correlation among color image channels. In this paper, we propose a color image steganalysis algorithm based on quaternion discrete cosine transform, firstly, the image is represented by quaternion, then the quaternion discrete cosine transform is applied to it, and the coefficients obtained from the transformation are extracted to design features of the coeval matrix. The experimental results show that the proposed algorithm works better than the typical color image steganalysis algorithm.

References

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