基于QR码和DWT-SVD技术的双彩色盲水印算法

孙业强, 王晓红, 李肖赫

包装工程(技术栏目) ›› 2017 ›› Issue (11) : 193-198.

包装工程(技术栏目) ›› 2017 ›› Issue (11) : 193-198.

基于QR码和DWT-SVD技术的双彩色盲水印算法

  • 孙业强1, 王晓红1, 李肖赫2
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Double Color Blind Watermarking Algorithm Based on QR Code and DWT-SVD

  • SUN Ye-qiang1, WANG Xiao-hong1, LI Xiao-he2
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摘要

目的 为了进一步提高盲水印算法的嵌入能力和鲁棒性,提出一种基于QR码和SVD分解的强鲁棒性双彩色盲水印算法。方法 基于Arnold变换对水印彩色QR码分通道置乱加密并归一化;将彩色载体图像分通道进行小波变换,并对三级低频子带进行4×4分块SVD分解;通过调节每一子块酉矩阵(2,1)和(3,1)坐标系数的差值将水印信息嵌入到载体图像对应通道中。结果 实验结果表明算法具有较高的鲁棒性,对裁切、旋转、JPEG压缩、高斯噪声、椒盐噪声、高斯滤波、中值滤波、对比度增强等攻击具有较强的鲁棒性。结论 由于算法在提取过程中不需要任何原载体图像相关信息,属于盲水印算法,因此文中提出的双彩色盲水印算法在数字产品版权保护中具有较大的实用价值。

Abstract

The work aims to further improve the embedding capacity and robustness of blind watermarking algorithm, and propose a robust double color blind watermarking algorithm based on QR code and DWT-SVD. Firstly, the color QR code as watermark was scrambled and normalized in each channel based on Arnold transmission, then each channel of carrier image was processed by the wavelet transform and the level 3 low frequency sub-band was partitioned into 4*4 blocks for SVD decomposition; finally, the watermark information was embedded into the corresponding channel of carrier image by adjusting the difference of (2, 1) and (3, 1) coordinate coefficients of each sub-band’s unitary matrix. The experiment results showed that the algorithm had high robustness, and it had strong ability in resisting such attracts as cutting, rotation, JPEG compression, Gaussian noise, salt and pepper noise, Gaussian filtering, median filtering and contrast enhancement. Because the algorithm does not need any information related to the original carrier image during the extraction process, it is a blind watermarking algorithm. Therefore, the proposed double color blind watermarking algorithm can be widely used in copyright protection of digital products.

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孙业强, 王晓红, 李肖赫. 基于QR码和DWT-SVD技术的双彩色盲水印算法[J]. 包装工程(技术栏目). 2017(11): 193-198
SUN Ye-qiang, WANG Xiao-hong, LI Xiao-he. Double Color Blind Watermarking Algorithm Based on QR Code and DWT-SVD[J]. Packaging Engineering. 2017(11): 193-198

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