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CSST-Net: an arbitrary image style transfer network of coverless steganography.

Authors :
Zhang, Shanqing
Su, Shengqi
Li, Li
Lu, Jianfeng
Zhou, Qili
Chang, Chin-Chen
Source :
Visual Computer. Jun2022, Vol. 38 Issue 6, p2125-2137. 13p.
Publication Year :
2022

Abstract

A traditional image steganography embeds secret information into a cover image to generate a secret-embedded image. The modification traces imposed on the cover image can be easily detected by steganalysis tools. Coverless steganography has been introduced to solve this problem. In this study, coverless steganography is combined with image style transfer, an arbitrary image style transfer network CSST-Net is put forward, and a secret information is encoded into the parameters (an adaptive steganography matrix) of CSST-Net, which is used to restrict the style transfer. Arbitrary image style transfer is performed instructed by the adaptive steganography matrix, and the image style transfer result driven by secret information is directly synthesized. Our experiments show that CSST-Net can not only synthesize any image style transfer result with good visual effect, but also achieve good performance in capacity, anti-steganalysis and security. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*CRYPTOGRAPHY
*PROBLEM solving

Details

Language :
English
ISSN :
01782789
Volume :
38
Issue :
6
Database :
Academic Search Index
Journal :
Visual Computer
Publication Type :
Academic Journal
Accession number :
156789821
Full Text :
https://doi.org/10.1007/s00371-021-02272-6