Digital Hiding Technology Based On Wavelet Transform

Digital hiding is the technology that uses encryption algorithm to make some iconic copyright information embedded into the content of the mutimedia product. It could prove the copyright of the mutimedia product and the content integrity of the digital product. But it could not affect the value and application of the mutimedia product's content and could not be observed and recognized in the perception system. It could only use the professional device or professional software to refine the copyright information.In order to improve the security of digital hidden information, this paper improves some kinds of the chaos algorithm was and apply the improved algorithm in the digital information hiding technology. By a large number of experiments and tests, it has been proved that the improved chaos algorithm has a good security and robustness for the protection of the digital information hiding.In the concern of the algorithm of the embedded process in multimedia information, this paper summarizes the recent wavelet transform algorithms and thereby improves the algorithm. In order to make the hidden information embedded into the multimedia information, research on the embedded algorithm of the binary image and the gray image, and improve the digital information hiding algorithm of wavelet transform. The new embedded algorithm make the digital image into N-level wavelet decomposition. Using the different algorithm embedded into the hidden information of the low frequency and high frequency of the decompose image.the decompose image at high frequency and low frequency bands have used different algorithms embedded in the hidden information. Before the hidden information was embedded, use the chaos algorithm to do some encrypted work and data splitter work of the hidden image,which could greatly improve the privacy and security of multimedia information.The study were also hidden on the algorithm of binary image and gray image of the hidden algorithm MATLAB simulation and robustness against experiments to recent research results were compared and analyzed by comparing the obtained results, The proposed algorithm shows improvement in terms of hidden information on the safety as well as the robustness of the improvement.