一种基于Chebyshev混沌神经网络的视频水印算法
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摘要
针对视频版权的保护,提出一种基于Chebyshev混沌神经网络的视频水印算法。首先选取二值图像作为图像水印,利用Chebyshev混沌神经网络对图像进行加密;然后对宿主视频进行分帧处理,通过Henon映射产生混沌序列提取关键帧,同时提取关键帧亮度分量的低频系数,将处理后的图像水印自适应地嵌入小波变换后亮度分量的低频系数中。实验结果表明,该算法具有较好的不可见性,且针对噪声、高斯滤波、旋转、帧丢失等攻击具有良好的鲁棒性。
For the copyright protection of digital video,this paper proposes a video watermarking algorithm based on Chebyshev chaotic neural network. First,to enhance the watermarking image's safety,we process it using Chebyshev chaotic neural network,then decompose the host video into the frames,extract key frames from the chaotic sequences generated by Henon mapping,and extract the low frequence coefficient of the key frame's luminance component. The processed image watermark is adaptively embedded into the low frequency coefficients of the luminance component after the wavelet transform. The experimental results show that this algorithm has a good invisibility,and has good robustness for the attacks such as noise,Gauss filtering,rotation,frame shear,etc.
For the copyright protection of digital video,this paper proposes a video watermarking algorithm based on Chebyshev chaotic neural network. First,to enhance the watermarking image's safety,we process it using Chebyshev chaotic neural network,then decompose the host video into the frames,extract key frames from the chaotic sequences generated by Henon mapping,and extract the low frequence coefficient of the key frame's luminance component. The processed image watermark is adaptively embedded into the low frequency coefficients of the luminance component after the wavelet transform. The experimental results show that this algorithm has a good invisibility,and has good robustness for the attacks such as noise,Gauss filtering,rotation,frame shear,etc.
引文
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[4]李顺新,胡名雨,余波,等.基于小波变换和神经网络的盲数字水印算法[J].计算机工程与科学,2009,31(2):40-43.
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[6]乐鸿辉,李涛,石磊.应用Henon超混沌系统改进的图像加密[J].计算机应用,2011,31(7):1909-1916.
[7]李绍华,冯晶莹,楼偶俊,等.基于Contourlet变换和神经网络的视频水印算法[J].电脑知识与技术,2014,10(11):2627-2630.
[8]孙燮华.图像加密算法与实践[M].北京:科学出版社,2013:38-40.
[9]杨杰,占君,张继传.MATLAB神经网络30例[M].北京:电子工业出版社,2014.
[10]Cox I J,Kilian J,Leighton F T,et al.Secure spread spectrum watermarking for multimedia[J].IEEE Transactions on Image Processing,1997,6(12):1673-1686.
[11]任克强,张凯,谢斌.基于小波域低频系数的自适应盲视频水印算法[J].电视技术,2012,36(19):47-50.
[12]潘泉,张磊,孟晋丽,等.小波滤波方法及应用[M].北京:清华大学出版社,2005.
[13]倪林.小波变换与图像处理[M].合肥:中国科学技术大学出版社,2010.
[14]陈军,张伟,杨华千,等.一种基于小波变换和神经网络的数字水印算法[J].计算机科学,2011,38(6):142-144.
[15]熊祥光,王力,瞿云云.基于整数小波变换的彩色视频水印算法[J].微电子学与计算机,2013,30(4):41-45.
[16]熊祥光,杨锦尊,崔巍,等.基于三维小波变换和HVS的视频水印算法[J].武汉大学学报(工学版),2010,43(3):357-360.
[17]Li Ying,Gao Xinbo,Ji Hongbing.A 3D wavelet based spatial temporal approach for video watermarking[C]//Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications.2003:260-265.
[2]刘媛媛,陈贺新,赵岩,等.一种新的DWT视频动态水印算法[J].吉林大学学报(工学版),2013,43(3):445-449.
[3]赵慧民,赖剑煌,蔡君,等.一种用于帧内篡改检测的压缩感知视频水印实现算法[J].电子学报,2013,41(6):1153-1158.
[4]李顺新,胡名雨,余波,等.基于小波变换和神经网络的盲数字水印算法[J].计算机工程与科学,2009,31(2):40-43.
[5]Fridrich J.Symmetric ciphers based on two-dimensional chaotic maps[J].International Journal of Bifurcation and Chao,1998,8(6):1259-1284.
[6]乐鸿辉,李涛,石磊.应用Henon超混沌系统改进的图像加密[J].计算机应用,2011,31(7):1909-1916.
[7]李绍华,冯晶莹,楼偶俊,等.基于Contourlet变换和神经网络的视频水印算法[J].电脑知识与技术,2014,10(11):2627-2630.
[8]孙燮华.图像加密算法与实践[M].北京:科学出版社,2013:38-40.
[9]杨杰,占君,张继传.MATLAB神经网络30例[M].北京:电子工业出版社,2014.
[10]Cox I J,Kilian J,Leighton F T,et al.Secure spread spectrum watermarking for multimedia[J].IEEE Transactions on Image Processing,1997,6(12):1673-1686.
[11]任克强,张凯,谢斌.基于小波域低频系数的自适应盲视频水印算法[J].电视技术,2012,36(19):47-50.
[12]潘泉,张磊,孟晋丽,等.小波滤波方法及应用[M].北京:清华大学出版社,2005.
[13]倪林.小波变换与图像处理[M].合肥:中国科学技术大学出版社,2010.
[14]陈军,张伟,杨华千,等.一种基于小波变换和神经网络的数字水印算法[J].计算机科学,2011,38(6):142-144.
[15]熊祥光,王力,瞿云云.基于整数小波变换的彩色视频水印算法[J].微电子学与计算机,2013,30(4):41-45.
[16]熊祥光,杨锦尊,崔巍,等.基于三维小波变换和HVS的视频水印算法[J].武汉大学学报(工学版),2010,43(3):357-360.
[17]Li Ying,Gao Xinbo,Ji Hongbing.A 3D wavelet based spatial temporal approach for video watermarking[C]//Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications.2003:260-265.