Generative Reversible Data Hiding by Image-to-Image Translation via GANs
Joint Authors
Zhang, Zhuo
Fu, Guangyuan
Di, Fuqiang
Li, Changlong
Liu, Jia
Source
Security and Communication Networks
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The traditional reversible data hiding technique is based on cover image modification which inevitably leaves some traces of rewriting that can be more easily analyzed and attacked by the warder.
Inspired by the cover synthesis steganography-based generative adversarial networks, in this paper, a novel generative reversible data hiding (GRDH) scheme by image translation is proposed.
First, an image generator is used to obtain a realistic image, which is used as an input to the image-to-image translation model with CycleGAN.
After image translation, a stego image with different semantic information will be obtained.
The secret message and the original input image can be recovered separately by a well-trained message extractor and the inverse transform of the image translation.
The experimental results have verified the effectiveness of the scheme.
American Psychological Association (APA)
Zhang, Zhuo& Fu, Guangyuan& Di, Fuqiang& Li, Changlong& Liu, Jia. 2019. Generative Reversible Data Hiding by Image-to-Image Translation via GANs. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210453
Modern Language Association (MLA)
Zhang, Zhuo…[et al.]. Generative Reversible Data Hiding by Image-to-Image Translation via GANs. Security and Communication Networks No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1210453
American Medical Association (AMA)
Zhang, Zhuo& Fu, Guangyuan& Di, Fuqiang& Li, Changlong& Liu, Jia. Generative Reversible Data Hiding by Image-to-Image Translation via GANs. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210453