A method on digital watermarking image against geometric distortion
A method on digital watermarking image against geometric distortion
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DOI：
10.1109/cisp.2014.7003763
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发表时间：
2014-10
期刊：
影响因子：
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通讯作者：
Ziyan Lin;Lipi Niu;Xiuhua Jiang
中科院分区：
文献类型：
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作者：
Ziyan Lin;Lipi Niu;Xiuhua Jiang
提出了一种基于Hausdorff距离的抗数字水印图像几何失真的方法，该方法通过对特征点进行匹配，并计算两点集之间的相似度(最大距离)。本文首先根据Harris检测器的响应和场大小将Harris特征点提取到特征点集，然后利用Hausdorff距离消除图像的几何变形，然后以Harris特征点为中心进行离散小波变换，并在低频域进行离散余弦变换，最后在DCT系数中嵌入和提取水印。实验结果表明，经过平移、旋转、缩放、剪切等几何攻击后，嵌入的水印图像提取效果好，相似度高，是一种具有较强鲁棒性的盲水印检测算法。
This paper describes a method against geometric distortion of digital watermarking image by means of Hausdorff distance measuring, which matches the feature points, and calculates similarity between two point sets (maximum distance). In this paper, Harris feature points are firstly extracted into feature point set according to the response of the Harris detector and the field size, and then secondly the Hausdorff distance is used to eliminate the image geometric deformation, thirdly, DWT(Discrete Wavelet Transform) transformation is conducted with the Harris feature points as centers, and also DCT(Discrete Cosine Transform) transformation is conducted in low-frequency LL domain; at last, watermark could be embedded and extracted in the DCT coefficient. The experimental results demonstrate that the embedded watermark image is well extracted and has high similarity after such geometric attacks as translation, rotation, scaling and shearing, so this method is a blind watermarking detection algorithm with strong robustness.