Research Of Information Hiding Based On Chaos And Integer DWT

Information Hiding is a secret communicative way by hiding secret information in other secure media. Effective hiding technology should have many properties, such as better sightlessness, robustness, security and larger hiding capacity. Digital image has become one of main carriers because it has large amount of redundancy information so that it has larger hiding space. Image usually needs to be compressed to reduce data size so that hiding information algorithm with image has to take on performance of resisting compression. Moreover noise may disturb image in transmission, so information hiding algorithm must have better noise proof. To make hiding information have better sheltered performance, research has been done in embedded algorithm and treat secret information.Treating secret information is to enlarge its spectrum and pseudo- randomizes it so that make secret information not detected like stochastic noise. Chaotic sequence has become one of important research direction in treat secret information because of its dummy randomness and sensibility to initial value and parameter.By randomize secret information with chaotic sequence, this thesis introduces a new algorithm based on lift and integer DWT. Stego-signal is modulated by chaos series after ECC, and then embedded in the low frequency and small coefficients of the integer wavelet transform. The quantization of finite accuracy will lead to degeneracy of chaos system. The two-chaos system cascade connection scheme is utilized to avoid the problem above. To avoid errors during the image DWT decomposition and reconstruction, we adopt lifting and integer DWT is also be used. The experimental results show that the algorithm is strong and robust against attacks such as noises,compression and filter.