王世辉, 王仪明, 武淑琴, 田贝. 萤火虫算法优化的小波域图像水印技术[J]. 微电子学与计算机, 2018, 35(5): 124-127, 132.
引用本文: 王世辉, 王仪明, 武淑琴, 田贝. 萤火虫算法优化的小波域图像水印技术[J]. 微电子学与计算机, 2018, 35(5): 124-127, 132.
WANG Shi-hui, WANG Yi-ming, WU Shu-qin, TIAN Bei. A Watermarking Method in Wavelet Domain Optimized by Firefly Algorithm[J]. Microelectronics & Computer, 2018, 35(5): 124-127, 132.
Citation: WANG Shi-hui, WANG Yi-ming, WU Shu-qin, TIAN Bei. A Watermarking Method in Wavelet Domain Optimized by Firefly Algorithm[J]. Microelectronics & Computer, 2018, 35(5): 124-127, 132.

萤火虫算法优化的小波域图像水印技术

A Watermarking Method in Wavelet Domain Optimized by Firefly Algorithm

  • 摘要: 针对水印不可感知性和鲁棒性难均衡的问题, 提取一种萤火虫算法优化的小波域图像水印新方法.首先对原始载体图像进行2级Haar离散小波变换(DWT), 分别对得到的第2级逼近子图LL2、垂直细节子图LH2、水平细节子图HL2运行奇异值分解(SVD), 作为水印嵌入位置.然后对水印图像进行Arnold置乱加密和1级Haar DWT, 分别对得到的逼近子图LL1、垂直细节子图LH1、水平细节子图HL1运行SVD, 作为待嵌入信息.最后采用萤火虫算法(FA) 得到水印嵌入的最优强度因子.实验表明, 此算法可较好均衡图像水印的不可感知性和鲁棒性.

     

    Abstract: A new method of image watermarking in wavelet domain optimized by Firefly Algorithm is proposed to solve the problem that it is difficult to balance imperceptibility and robustness in watermarking.Firstly, the two layer Haar discrete wavelet transform (DWT) is applied on original host image, then singular value decomposition (SVD) is applied to the obtained second-level approximation subgraph LL2, vertical detail subgraph LH2 and horizontal detail subgraph HL2, which are taken as the watermark embedding position.Then, the watermarking image is processed by Arnold transform and one layer Haar DWT.The SVD is applied to the obtained approximation subgraph LL1, vertical detail subgraph LH1 and horizontal detail subgraph HL1, which are taken as the information to be embedded.Finally, the optimal intensity factor of watermarking embedding is obtained by using Firefly Algorithm (FA).The experimental results show that the proposed algorithm can well balance the imperceptibility and robustness of the image watermarking.

     

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