The Research Of Image Steganography Based On Human Visual System

Steganography takes an important position in military affairs, information and security of country. A steganographic technique should generally possess two important properties: good imperceptibility and a sufficient payload. The steganography based on HVS has good visual imperceptibility, and its payload is the most in all steganographic methods. Therefore, the steganography based on HVS occupies an important position in the research of steganography. However, recently, the steganalysises of steganography based on HVS were continually proposed. The security of traditional steganography based on HVS is lowered. So designing new steganography with high security is exigent. Under this situation, we try to apply wavelets and self-organizing competitive NNs to image steganography, proposing new steganographic methods with better performance. The main important work of this paper:1. Deeply studied human visual system, wavelet analysis theory, the basic theory of self-organizing competitive NNS , traditional steganography based on HVS and steganalysis.2. In accordance with the visual property that human eyes are less sensitive to strong texture, a novel steganographic method based on wavelet and modulus function was presented. In this method, more secret information is embedded into blocks with strong texture. From the experimental result, the proposed method has a better performance than BPCS, PVD and Two-sided side match.3. Point out that traditional steganography on wavelet domain result in abnormity of histogram for wavelet coefficients, so a loophole exists; in order to improve the security and exploit the HVS, a steganography on wavelet domain based on HVS against statistical analysis is proposed. From the experimental results, the proposed method effectively keeps the identity of histogram for wavelet coefficients and maintains a good visual quality of stego-image.In view of contrast and texture sensitivity, and exploiting the classified ability of self-organizing competitive NNS, a steganographic method based on self-organizing competitive NNs and HVS is proposed. Simulation experiments show that the proposed method has much greater hiding capacity than four-sided side match, maintaining a good visual quality of stego-image.We used MATLAB as the simulation platform to verify the research mentioned above.