版权保护和内容认证的全盲双功能数字水印算法

doi:10.11959/j.issn.1000-0801.2017017

Abstract

Abstract:

In view of the limitation that most of the watermarking algorithms are single in functions and unable to achieve perfectly blind detection,a bifunctional watermarking algorithm with perfectly blind detection for copyright protection and content authentication was proposed.The algorithm adopted the idea of region segmentation for sub-block,and the generation and embedding of watermark were respectively carried out in the different regions of the same sub-block.A feature watermark was generated by judging the parity of the first digit from the average of maximum singular values,and the watermark was embedded by adjusting two DCT coefficients of adjacent blocks in the same position.Both the image copyright protection and content authentication functions were achieved by comparing the generated feature watermark and blindly extracting authentication watermark in the detection.Compared to some of the reported watermarking schemes,the proposed algorithm not only has better robustness against the common attacks to realize the copyright protection,but also has a good sensitivity to malicious image tampering to accurately locate the tampered area.

Key words: dual function watermark, feature watermark, perfectly blind detection, copyright protection, tamper detection

CLC Number:

TN911.7

Dong XUE,Yaxun ZHOU,Wei JIN. Bifunctional watermarking for copyright protection and content authentication with perfectly blind detection[J]. Telecommunications Science, 2017, 33(2): 79-89.

Figures/Tables 16

图像	编号	1	2	3	4	5	6	7	8
Lena	$\hat{W} 和 {\tilde{W}}^{'}$	0.986 3	0.974 6	0.974 0	0.960 7	0.993 5	0.942 8	0.985 0	0.986 0
	$\hat{W} 和 W$	0.986 3	0.974 6	0.985 7	0.979 7	0.993 5	0.977 8	0.997 4	0.992 6
	${\tilde{W}}^{'} 和 W$	1.000 0	1.000 0	0.987 3	0.980 1	1.000 0	0.962 1	0.987 6	0.992 0
Goldhill	$\hat{W} 和 {\tilde{W}}^{'}$	0.987 9	0.977 7	0.973 3	0.957 6	0.993 0	0.923 1	0.985 3	0.984 2
	$\hat{W} 和 {\tilde{W}}^{'}$	0.987 9	0.977 7	0.984 0	0.977 9	0.993 0	0.973 6	0.988 8	0.996 8
	${\tilde{W}}^{'} 和 W$	1.000 0	1.000 0	0.988 8	0.979 7	1.000 0	0.943 2	0.996 5	0.992 5
Peppers	$\hat{W} 和 {\tilde{W}}^{'}$	0.981 6	0.967 1	0.977 7	0.961 1	0.986 1	0.939 7	0.985 6	0.984 8
	$\hat{W} 和 {\tilde{W}}^{'}$	0.981 6	0.967 1	0.988 1	0.978 1	0.986 1	0.972 7	0.991 2	0.990 9
	${\tilde{W}}^{'} 和 W$	1.000 0	1.000 0	0.989 0	0.981 2	1.000 0	0.962 2	0.994 3	0.993 4

图像	编号	9	10	11	12	13	14	15	16
Lena	$\hat{W} 和 {\tilde{W}}^{'}$	0.974 7	0.970 4	0.929 8	0.946 2	0.893 9	0.969 0	0.941 4	0.981 8
	$\hat{W} 和 {\tilde{W}}^{'}$	0.974 9	0.972 3	0.968 6	0.953 7	0.911 8	0.975 5	0.975 4	0.981 8
	${\tilde{W}}^{'} 和 W$	0.999 8	0.998 1	0.961 3	0.991 1	0.975 9	0.991 8	0.964 4	1.000 0
Goldhill	$\hat{W} 和 {\tilde{W}}^{'}$	0.977 9	0.974 7	0.951 5	0.942 1	0.892 7	0.967 8	0.915 8	0.982 6
	$\hat{W} 和 {\tilde{W}}^{'}$	0.977 9	0.976 3	0.970 5	0.949 3	0.911 5	0.974 4	0.967 3	0.992 6
	${\tilde{W}}^{'} 和 W$	1.000 0	0.998 4	0.979 4	0.990 5	0.911 4	0.992 5	0.943 7	1.000 0
Peppers	$\hat{W} 和 {\tilde{W}}^{'}$	0.970 3	0.955 3	0.908 9	0.943 4	0.884 8	0.986 1	0.937 6	0.974 4
	$\hat{W} 和 {\tilde{W}}^{'}$	0.970 5	0.959 7	0.956 8	0.947 9	0.894 8	0.986 1	0.965 4	0.974 7
	${\tilde{W}}^{'} 和 W$	0.999 3	0.994 8	0.943 7	0.993 6	0.981 3	1.000 0	0.968 4	0.999 8

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2	添加高斯噪声（方差为0.000 3）
3	添加椒盐噪声（噪声密度为0.003）
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5	3×3高斯低通滤波（σ=0.5）
6	3×3中值滤波
7	剪切（左上角1/16）
8	剪切（中心1/16）
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10	JPEG压缩（Q=50）
11	JPEG压缩（Q=40）
12	重采样（先缩小0.8倍再扩大到1.25倍）
13	重采样（先缩小到0.5倍再扩大到2倍）
14	JPEG70+中心剪切1/16
15	JPEG70+3×3中值滤波
16	JPEG70+3×3高斯低通滤波（σ=0.5）

Bifunctional watermarking for copyright protection and content authentication with perfectly blind detection

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