A Survey on Secure Binary Image Steganography Based on Minimizing the Distortion on the Texture

Abstract

Many of the binary image steganographic
techniques only consider the flipping distortion according to
the HVS( Human Visual System), which will be not secure .
Here, a binary image steganographic scheme is to minimize the
embedding distortion on the texture . To extract the
complement, rotation, and mirroring-invariant local texture
patterns (crmiLTPs)from the binary image . The weighted sum
of crmiLTP changes when flipping one pixel is then used to
measure the flipping distortion corresponding to that pixel. By
testing on simple binary images and the new image data set,
the results shows that the proposed scheme can well describe
the distortions on both visual quality and statistics.This scheme
generates the cover vector by dividing the scrambled image
into super pixels. Experimental results show that the proposed
scheme can achieve statistical security without degrading the
image quality or the embedding capacity. In this paper
describes survey on image steganographic techniques and
steganographic techniques used with different cryptographic
algorithms, to provide extra layer of Security.