Model-based image steganography using asymmetric embedding scheme

Xianglei Hu; Jiangqun Ni; Wenkang Su; Junwen Huang

doi:10.1117/1.JEI.27.4.043023

26 July 2018 Model-based image steganography using asymmetric embedding scheme

Xianglei Hu, Jiangqun Ni, Wenkang Su, Junwen Huang

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 4, 043023 (July 2018). https://doi.org/10.1117/1.JEI.27.4.043023

Abstract

Recently, some steganographic schemes, which take into account the interaction among adjacent modifications, have emerged to tackle the issue of nonadditive embedding and exhibited higher security when compared with the original additive schemes. However, the performances of these schemes are volatile and very sensitive to both the heuristic parameters and the choice of initial additive distortion functions. We proposed a model-based steganographic scheme, which incorporates the adjacent embedding information without relying on any heuristic parameters. Following the spirit of prior arts, the proposed scheme divides the cover image into several interleaved sublattices and embeds messages on each sublattice sequentially. Adjacent modifications are utilized as a priori knowledge to optimize the asymmetric change probabilities of modifying each pixel by +1 and −1. Experimental results show that the proposed scheme can rival or outperform the prior arts and, moreover, maintains a stable security performance, irrespective of any initial additive distortion or any steganalysis detector.

Citation Download Citation

Xianglei Hu, Jiangqun Ni, Wenkang Su, and Junwen Huang "Model-based image steganography using asymmetric embedding scheme," Journal of Electronic Imaging 27(4), 043023 (26 July 2018). https://doi.org/10.1117/1.JEI.27.4.043023

Received: 10 January 2018; Accepted: 3 July 2018; Published: 26 July 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available