Digital Image Steganography Algorithm And Implementation

In recent years, steganography is a new method of processing multimedia information security in domains of information security and multimedia signal. The secret information can be permanently hidden into the public media so as to achieve the purpose of passing secret information.Thus, steganography provide a new solution to the problem of digital information security.Thesis research and Implementation steganographic method against the general steganalysis based on scrambling and adaptive steganographic method based on human visual system (HVS) by the digital image as the carrier. Study was designed to apply image scrambling to steganography against general steganalysis method; applythe similar between image fractal dimension size and the HVS for the adaptation of the embedded secret information ,that leads to the steganographic image with high image quality and security; applicy integer wavelet transform and wavelet contrast to measure HVS for the adaptation of embedding secret information , that leads to the steganographic image with higher capacity and better image quality. The main research contents are as follows:①A brief introduction of wavelet transform in engineering, and introduces the wavelet transform and upgrade the general principles of wavelet transform.②Introduction of general LSB steganography and steganalysis algorithm, then according to the characteristics of image scrambling and image steganography algorithm application, we propose steganographic algorithm based on two image scrambling. One is steganographic method based on image pixel bit position affine transformation and place transformation scrambling, one based on integer wavelet transform and position transformation scrambling.③According to the fractal dimension features of image, which are smooth region and the texture image region segmentation. Combining the advantages of matrix coding, image steganographic method is proposed based on fractal dimension.④Introduced wavelet contrast features and FCM algorithms, which are combined to split the image of light and dark areas, coupled with the size Adaptive of integer wavelet transform domain coefficients. Steganographic method.is presented based on integer wavelet transformTo verify the effectiveness and superiority of these methods, made compared experiment for a lot of different images. Experimental results show that the proposed method, whether visual or objective evaluation of the indicators are superior to other steganographic methods...