@Article{cmes.2020.09355,
AUTHOR = {Ji-Hwei Horng, Juan Lin, Yanjun Liu, Chin-Chen Chang},
TITLE = {3D Multilayered Turtle Shell Models for Image Steganography},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {125},
YEAR = {2020},
NUMBER = {2},
PAGES = {879--906},
URL = {http://www.techscience.com/CMES/v125n2/40323},
ISSN = {1526-1506},
ABSTRACT = {By embedding secret data into cover images, image steganography can
produce non-discriminable stego-images. The turtle shell model for data hiding is
an excellent method that uses a reference matrix to make a good balance between
image quality and embedding capacity. However, increasing the embedding capacity by extending the area of basic structures of the turtle shell model usually
leads to severe degradation of image quality. In this research, we innovatively
extend the basic structure of the turtle shell model into a three-dimensional
(3D) space. Some intrinsic properties of the original turtle shell model are well
preserved in the 3D version. Theoretic analysis shows that the new proposed
models have good performance both in the image quality and in the complexity
of the reference matrix. Our experimental results justify the theoretic conclusions.},
DOI = {10.32604/cmes.2020.09355}
}