Research And Implementation On ROI Image Information Hiding Based On Lifting Wavelet Transform

With the rapid development of Information Technology (IT) and the emergence of electronic commerce and commercial multimedia service, copyright protection technology of multimedia data becomes an important research topic. As new measures of digital media protection, information hiding and digital watermarking have been achieved instant development, but still have a lot of theoretic and technical problems. Starting from the problems in image information security, copy protection and secret information hiding, this dissertation make a wide and deep research on the current hotspot in information security field such as Information hiding and Digital watermarking techniques. By using the modem theory, method and techniques, the dissertation has deeply researched on the hot point of digital watermarking, which is ROI image information hiding algorithm based on lifting wavelet transform.The main contributions of this dissertation are recapitulated as follows:1. Much more attention has been paid in the domestic and oversea development process and trend, existing problems and research hotspot of the information hiding and digital watermarking. On the basis of thorough research on information hiding theory and its relating techniques, this dissertation analyzes the problem in digital watermarking, discusses the main topic and the solutions of this subject, and also explained the basic theory of digital watermarking technology which is including watermarking wavelet generic embedding model and the typical algorithm.2. Combining the information hiding and digital watermarking deeply with the digital image, a wavelet domain algorithm of digital image secret information hiding based on Lifting Wavelet Transform and region of image (ROI) is proposed. Different from the traditional digital watermarking algorithm, this algorithm used a part of original image as ROI information hiding important information from the original image information. Several experiment results show that this algorithm has good invisibility, huge hiding information capacity and high precision. 3. This dissertation introduces the idea of authorized use which is in the user classification model into the ROI image secret information hiding technique. On the basis of the research on the secret information hiding algorithm of the ROI image, then we propose an information hiding algorithm about the authorized use of the one or more secret message in gray image based on the Lifting Wavelet Transform and Chaos encryption, which provides a basis of the algorithm research on the authorized use which is in the user classification model. Experimental results show the feasibility and validity.