A reversible and affine invariant 3D data hiding technique based on difference shifting and logistic map

Abstract

Image steganography has evolved as an active area of research because of its advantage to hide secret information inside an ingenuous image invisibly. In the recent years, improvements have been done in hardware to process 3D image models which laid down the path for 3D image steganography. The proposed work presents a novel approach of reversible data hiding in 3D mesh models. Difference between the vertices is shifted to hide secret bits inside the vertices. Chaotic logistic map is also used in the proposed work to decide the coordinate taken up for embedding. The proposed blind steganography system withstands rotation, scaling and translation attacks. Novel mesh traversal algorithm is proposed to visit the mesh vertices. This algorithm gives a unique mesh traversal algorithm for every 3D mesh model. The performance of proposed approach is compared with three well-known image steganography approaches over five cover models. The experimental results reveal that the difference between stego model and cover model cannot be observed by human eye. The proposed approach provides better embedding capacity than the previous approach in the field of reversible data hiding in 3D cover models.