收稿日期: 2018-01-31
网络出版日期: 2018-03-31
基金资助
国家自然科学基金（No.61772234，No.61272414）资助
Robust Watermarking of RGB Image Against Geometric Attacks
Received date: 2018-01-31
Online published: 2018-03-31
为了提高RGB彩色图像水印抗几何攻击的性能，通过对RGB图像的3个通道进行优化处理，提出了一种基于RGB图像的鲁棒水印算法.首先，提取RGB图像中的G通道和B通道的像素值并分别将其扩大2倍和3倍，通过高斯低通滤波后利用图像的均值和直方图嵌入水印.与G通道和B通道像素值未经扩大的RGB图像水印进行对比，测试表明G通道和B通道的像素值经扩大后的鲁棒性较好.其次，分别在RGB图像的3个通道R、G、B中嵌入相同数量比特的水印信息，结果表明水印图像中的3个通道R、G、B均能抵抗几何攻击，但每个通道的鲁棒性并不相同.基于100幅RGB图像的实验结果表明了所提出算法在抗几何攻击上的有效性.
李敬轩, 项世军 . 抗几何攻击的RGB图像鲁棒水印[J]. 应用科学学报, 2018 , 36(2) : 393 -410 . DOI: 10.3969/j.issn.0255-8297.2018.02.017
In this paper, a robust watermarking algorithm based on RGB image is proposed for anti-geometric attacks by optimizing R, G and B channels. Firstly, the pixels in G and B channels of an image are expanded twice and three times, respectively. After that, the image is fltered by a Gaussian low-pass flter so that its mean and histogram can be used for watermark embedding. Comparing with the watermarking algorithm without pixel expanding in G and B channels, the proposed pixel-expanded algorithm shows stronger robustness. Furthermore, we embed the same number of bits into R,G and B channels for robustness testing, and the experimental results with 100 RGB images show that the strategy to expand the pixels in G and B channels is benefcial to improve the robustness of histogram-based watermarking for anti-geometric attacks.
Key words： geometric attacks; robust watermarking; RGB images; histogram
[1] 张立和,杨义先,钮心忻,牛少彰. 软件水印综述[J]. 软件学报,2003(2):268-277. Zhang L H, Yang Y X, Niu X X, Niu S Z. A survey on software watermarking[J]. Journal of Software, 2003(2):268-277. (in Chinese)
[2] Xiang S J, Kim H J, Huang H W. Invariant image watermarking based on statistical features in the low-frequency domain[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18(6):777-790.
[3] Deng C, Gao X B, Li X L, Tao D C. Local histogram based geometric invariant image watermarking[J]. Signal Processing, 2010, 90(12):3256-3264.
[4] 李新伟,郭宝龙,李雷达. 一种基于统计量化的抗几何攻击图像水印算法[J]. 光电子·激光,2009, 20(8):1082-1086. Li X W, Guo B L, Li L D. A statistic-quantization based image watermarking algorithm resisting geometric attacks[J]. Journal of Optoelectronics·Laser, 2009, 20(8):1082-1086. (in Chinese)
[5] 熊祥光,韦立. 基于三维离散余弦变换的鲁棒彩色图像水印算法[J]. 微电子学与计算机,2015, 32(1):100-104. Xiong X G, Wei L. Robust color image watermarking algorithm based on 3D-DCT[J]. Microelectronics & Computer, 2015, 32(1):100-104. (in Chinese)
[6] Ali S A, Jawad M J, Naser M A. Copyright protection for digital image by watermarking technique[J]. Journal of Information Processing Systems, 2017, 13(3):599-617.
[7] 强英,王颖. 基于小波域的数字图象水印算法综述[J]. 计算机工程与应用,2004(11):46-49, 104. Qiang Y, Wang Y. A survey of wavelet-domain based digital image watermarking algorithm[J]. Computer Engineering and Applications, 2004(11):46-49, 104. (in Chinese)
[8] Wang X Y, Niu P P, Meng L, Yang H Y. A robust content based image watermarking using local invariant histogram[J]. Multimedia Tools and Applications, 2011, 54(2):341-363.
[9] 华梦. 基于多变换域的数字图像水印算法研究[D]. 南京:南京理工大学,2016.
[10] 吴禄慎,孙德智,陈华伟. 基于神经网络和HVS的空域数字水印算法[J]. 光学技术,2016, 42(3):203-207. Wu L S, Sun D Z, Chen H W. Spatial domain watermarking algorithm based on neural network and HVS[J]. Optical Technique, 2016, 42(3):203-207. (in Chinese)
[11] Kandi H, Mishra D, Gorthi S R K S. Exploring the learning capabilities of convolutional neural networks for robust image watermarking[J]. Computers & Security, 2017, 65:247-268.
[12] 高清柳,李学斌. HSV颜色空间的彩色图像数字水印算法[J]. 计算机应用与软件,2007(8):189-190, 209. Gao Q L, Li X B. A watermarking algorithm for color images based on HSV color space[J]. Computer Applications and Software, 2007(8):189-190, 209. (in Chinese)
[13] 詹旭,杜玲艳,雷跃荣,曾慧敏,陈健陵. 一种彩色图像水印算法[J]. 实验室研究与探索,2014, 33(3):13-15, 20. Zhan X, Du L Y, Lei Y R, Zeng H M, Chen J L. A color watermarking algorithm[J]. Research and Exploration in Laboratory, 2014, 33(3):13-15, 20. (in Chinese)
[14] 高清柳. 基于HSV颜色空间的彩色图像与视频水印算法研究[D]. 北京:北京化工大学,2006.
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