Write Algorithm, Based On The Jpeg Image Hidden

Information hiding is an important issue in the field of current information security. As the main branch of information hiding, steganography has drawn more and more attention from extensive researchers.With the development of steganography, steganalysis used to detect the existence of secret message in images, has made rapid development, and of the both mutually promote each other and achieve the common development. For JPEG images, based on the summary of positive and negative technologies in the field, a digital image steganographic algorithm resisting the current efficient steganalytic algorithms is proposed and analyed. The main work includes:(1)The four common steganographic algorithms based on JPEG images are studied, and JSteg, F5 and MB steganographic algorithms are compared and analyzed according to the embedding capacity, embedding rate, data utilization rate, data changing rate, PSNR, statistical properties of DCT coefficients and so on via experiments, and The advantages and disadvantages of each algorithm are analyzed.(2) The three more typical universal steganalysis algorithms based on JPEG images are studied, and are evaluated by JSteg, F5,OutGuess and MB steganographic algorithms mentioned above. The experimental results show that the detection rates of the three steganalytic algorithms are more than 90% under fully embedding, the detection reliability look nice. And, results also show that the performance of the steganalytic algorithms are closely related to the sensitivity of features facing steganographic operations.(3)Based on the statistical correlations of DCT coefficients of intra-block and inter-block, A steganographic algorithm based on Markov chain is proposed. One step transition probability matrix of the Markov chain and pseudo-random sequence are used to determine the modification rule of the DCT coefficients in the LSB matching, which minimizes the impact of the correlation of image blocks coming from data embedding. The experiments also show that compared with other steganographic algorithms, its capacity is larger, the data utilization rate is higher, its PSNR value increases, and the statistics properties of DCT coefficient histogram are preserved. Compared to several other steganographic algorithms, the capability against the steganalytic algotithms is improved to some extent.Finally, the existing deficiencies of the dissertation are pointed out, and the further research works are presented.