@Article{cmes.2020.09452,
AUTHOR = {Fengyong Li, Zongliang Yu, Chuan Qin},
TITLE = {Constructive Texture Steganography Based on Compression Mapping of Secret Messages},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {124},
YEAR = {2020},
NUMBER = {1},
PAGES = {393--410},
URL = {http://www.techscience.com/CMES/v124n1/39397},
ISSN = {1526-1506},
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.},
DOI = {10.32604/cmes.2020.09452}
}