| In kinds of network, people can come into contact with the increase of the multimedia content greatly. Everyone can optionally copy or falsify and even illegally distribute multimedia on Internet. The authenticity and credibility of information transmitted on the internet has become the focus of everyone’s attention. Consequently, protecting the copyrights of digital multimedia is becoming a crucial problem. In reversible watermarking schemes, the recovery of host image itself is essential in some applications such as remote sensing military image processing, medical image sharing and multimedia archive management. For these special problems, reversible data hiding can provide an ideal solution.In this paper, firstly we expound an outline of the situation of study and the development of information hiding. Secondly, we summarize the theoretical knowledge of reversible information hiding, including the category, characteristics of information hiding. Finally, This part is the core content of the paper. We present a novel reversible data hiding method based on principal component analysis (PCA). Firstly, we generate a reference sub-sampled image and divide it into blocks. Secondly, according to the inherent information of each image blocks determined by PCA, the sequence of data embedding is obtained. Finally, we modify the difference histogram between image blocks which exploits the high spatial correlation inherent in neighboring pixels to achieve high embedding capacity and good imperceptibility. Since the sequence of data embedding is representative of image block’s self-complexity from simple to rich, secret data can be firstly embedded into simple blocks adaptively in order to avoid large distortion. Since the texture information is considered adequately, experimental results demonstrate that the performance of the proposed method outperforms several representative methods.For the proposed reversible data hiding approach, we take MATLAB as the platform to conduct many tests, exact experimental results can be used to analyze carefully. Extensive experimental results demonstrate that the proposed methods have good invisibility and embedding capacity. |
