Research On Watermarking Scheme For Copyright Protection In Remote Sensing Image With Wavelet-based Hidden Markov Tree Models

With the advent of the information age, digital map has been widely used in various fields. Digital map has brought us convenience but also there are many problems need to be solved. For example, illegal distribution of maps, map copyright protection. As an important method for copyright protection, digital watermarking has been widely used in copyright protection for many digital products. A kind of watermarking algorithm is proposed for remote sensing image. The binary bitmap is used as the watermark information, and the map is used as the watermark carrier.We mainly researched watermark technology application for map copyright protection in this paper. We proposed a blind watermarking algorithm for Remote Sensing Image based on wavelet domain and Hidden Markov Tree in this paper. Firstly, this algorithm makes use of the geographical attributes of the map to cut the map into small blocks. Then, we selected the important blocks and uses wavelet transform on the blocks. After that, we make use of Hidden Markov Model to analysis the wavelet coefficients and extract important coefficients according to the characteristics of wavelet coefficients. Finally, we make use of the proposed quantization algorithm to modify wavelet coefficients. We proposed improvement of the Hidden Markov Model by analyses of the inadequacies of existing models. We improved the quantization algorithm by adding the fault tolerance based on the original quantization algorithm.The algorithm, which was improved based on the Original algorithm, makes good use of the characteristics of the remote sensing image. Simulation experiments results show that this algorithm has good transparency and strong robustness. It can effectively resist attacks like noise, compression, clipping and so on.