Open Access
ARTICLE
Constructive Texture Steganography Based on Compression Mapping of Secret Messages
Fengyong Li1, *, Zongliang Yu1, Chuan Qin2
1 College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China.
2 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology,
Shanghai, China.
* Corresponding Author: Fengyong Li. Email: .
(This article belongs to this Special Issue: Information Hiding and Multimedia Security)
Computer Modeling in Engineering & Sciences 2020, 124(1), 393-410. https://doi.org/10.32604/cmes.2020.09452
Received 16 December 2019; Accepted 17 March 2020; Issue published 19 June 2020
Abstract
This paper proposes a new constructive texture synthesis steganographic scheme
by compressing original secret messages. First, we divide the original message into multiple
bit blocks, which are transferred to decimal values and compressed into small decimal values
by recording their interval sign characters. Then, a candidate pattern is generated by
combining the given source pattern and boundary extension algorithm. Furthermore, we
segment the candidate pattern into multiple candidate patches and use affine transformation
algorithm to locate secret positions on a blank canvas, which are used to hide the sign
characters by mapping the candidate patches. Finally, we select the candidate patches with
minimal mean square error to represent secret bits to generate stego image by image quilting.
Extensive experiments demonstrate that compared with existing texture steganographic
methods, our method has a better visual quality, higher embedding capacity and security
performance, while maintaining strong anti-steganalysis capability.
Keywords
Cite This Article
Li, F., Yu, Z., Qin, C. (2020). Constructive Texture Steganography Based on Compression Mapping of Secret Messages.
CMES-Computer Modeling in Engineering & Sciences, 124(1), 393–410.
Citations