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作 者:齐向明[1] 徐嫚 李玥 侯明君 Qi Xiangming;Xu Man;Li Yue;Hou Mingjun(College of Software,Liaoning Technical University,Huludao Liaoning 125105,China)
机构地区:[1]辽宁工程技术大学软件学院
出 处:《计算机应用研究》2019年第6期1793-1796,1802,共5页Application Research of Computers
基 金:国家自然科学基金资助项目(61401185)
摘 要:针对数字水印算法中特征区域选取不足以反映图像重要信息,导致鲁棒性减弱的问题,提出一种尺度空间特征区域的强鲁棒性水印算法。通过尺度空间特征点检测提取靠近载体图像重心且互不重叠的特征区域,合成特征区域矩阵,用变换域水印算法嵌入水印;对可能受到攻击的含水印图像提取特征区域,合成其特征区域矩阵,并用嵌入水印算法逆过程提取水印。实验表明,该算法不仅对一系列攻击都具有强鲁棒性,而且不可见性良好。Area selection based on digital watermarking algorithm is not enough to reflect the important information of image, it leads to decrease robustness. This paper put forward a strong robustness watermarking algorithm for a measure space characteristics area. Through detecting the scale space feature point and extracting characteristics near the image’s gravity and non-overlapping regions, the algorithm composited the regional matrix of characteristics. It used the transform domain watermarking algorithm to embed watermarking. On the other hand, it extracted characteristics of the area might be attacked and composite characteristic regional matrix. At last, it extracted the watermark by inverse process of embedding watermarking algorithm. Experiments show that this algorithm not only is robust to a series of attacks, but also has good invisibility.
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构]
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