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作 者:吴庆涛[1,2] 施进发 曹再辉[1] WU Qingtao;SHI Jinfa;CAO Zaihui(Zhengzhou University o{ Aeronautics Industry Management,Zhengzhou 450000,China;Henan Province Collaborative Innovation Ceuter for Aviation Economic Development,Zhengzhou 450000,China;North China University of Water Resources Electric Power,Zhengzhou 450000,China)
机构地区:[1]郑州航空工业管理学院,河南郑州450000 [2]河南省航空经济发展协同创新中心,河南郑州450000 [3]华北水利水电大学,河南郑州450000
出 处:《光学技术》2018年第4期435-442,共8页Optical Technique
基 金:国家自然科学基金资助项目(71371172);河南省科技攻关项目(172102210523);河南省高等学校重点科研项目计划(15A520105)
摘 要:提出了多元频域变换与几何校正机制的彩色图像水印算法。对重力模型进行改进,实现水印信息的加密,利用四元变换处理处理载体图像的最大中心区域,获取其相位与幅度信息;设计水印嵌入机制,将水印信息植入到四元变换的幅度中,借助逆变换,输出水印图像;引入四元小波变换处理水印图像的训练样本,获取其四元小波变换系数训练支持向量机,完成水印图像实现准确的几何校正;利用四元变换,建立水印提取机制,复原水印图像。测试数据表明:与当前图像水印方案相比,所提算法能够准确校正几何失真图像,具备更高的鲁棒性与抗盲检测能力。The new watermarking algorithm based on multivariate frequency domain transformation and geometric correction was proposed.Firstly,the watermark information was encryption based on gravity model,and Multivariate Fourier transformation was used to process the maximum central region of cover image for obtaining the phase and amplitude information.Then watermark embedding mechanism was designed to embed the watermark information into the amplitude parts,and watermark image was output by Inverse Fourier transformation.The training sample of the watermark image was processed by introducing the QWT to DWT coefficients to for training the support vector machine so that completing watermark image geometric correction.The watermark extraction mechanism was established to restore the watermark image based on the correction of watermark image.The test results show that this algorithm can accurately correct the geometric distortion image,and it has higher robustness and anti blind detection ability compared with the current image watermarking scheme.
关 键 词:图像水印 四元Fourier变换 SVM模型 最大中心区域 几何校正 四元小波变换 水印提取
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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