基于Harris特征区域的DC系数自适应水印算法

Image Watermarking Adaptively in DC Coefficients Based on Harris Feature Region

基于特征区域的水印方法一般存在提取的特征点过多、分布不均等问题,因此论文题出一种新的基于Harris特征区域的DC系数自适应水印算法。采用一种改进的加权Harris角点检测方法提取载体图像的角点特征,以角点权值大小和区域半径为依据构造Harris特征区域;然后通过比较局部嵌入区域的B分量和G分量的DC系数来完成水印的自适应嵌入。仿真实验表明,算法不仅保证了水印的不可见性及对常规图像处理攻击的鲁棒性,还能从遭受严重几何攻击的图像中提取到正确的水印信息,具有较好的抗几何攻击能力。

The watermarking method based on feature region usually has many feature points extracted and uneven distribution.So this paper proposes a new adaptive watermarking algorithm based on DC coefficients of Harris feature region.Firstly a weighted Harris corner point detection method is improved.On the basis of the weight,feature area is structured,and then through comparing B component and G component of the local embedding area,the adaptive watermark embedding in DC coefficients is completed.Simulation results show that the algorithm not only guarantees the invisibility of the watermark,and the robustness to the conventional image processing,but also it can extract the correct watermark information from the watermark image which suffered from the serious geometric attacks.