基于GBT-DWT-SVD和Whale优化算法的小波域鲁棒图像水印
Robust Image Watermarking in Wavelet Domain using GBT-DWT-SVD and Whale Optimization Algorithm
摘要：
由于数码内容容易被复制，侵犯版权已成为现今社会关注的问题。提供一个解决方案来防止这些内容的滥用是非常必要的。解决这个问题的最常见的方法之一是水印。在该方法中，属于媒体所有者的标志被嵌入媒体中。因此，他们可以证明媒体内容的原创性或所有权。图像是最重要的数字媒体之一。因此，本研究提出一种数位影像浮水印之方法。该方法基于图基变换（GBT）、奇异值分解（SVD）和离散小波变换（DWT），利用鲸鱼优化算法（WOA）寻找图像中嵌入系数的最佳值和最佳块。该算法首先将图像进行小波变换和高斯变换，然后将水印嵌入到图像的奇异值上。在存在图像攻击的情况下，为该任务定义的目标函数基于PSNR和NC这三个参数。在一些已知图像上的实验结果表明，与其他类似方法相比，该方法具有较高的性能。
英文摘要：
As digital content can be copied easily, Copyright infringement has become a concern nowadays. Providing a solution to prevent the abuse of such contents is very necessary. One of the most common methods to solve this problem is watermarking. In this method, a logo belongs to the owner of the media is embedded in the media. So, they can prove the originality or ownership of the media content. Images are one of the most important digital media. Therefore, in this study, a method for digital image watermarking is proposed. The proposed method is based on Graph-based Transform (GBT), Singular Value Decomposition (SVD), and Discrete Wavelet Transform (DWT) which uses a Whale Optimization Algorithm (WOA) to find the best value for the embedding coefficient in the images as well as optimal blocks. The image is first transformed to a transform domain using the DWT and GBT, and then the watermark logo embedded onto the singular values of the cover image. The objective function defined for this task is based on the three parameters PSNR and NC, in the presence of image attacks. The results of the proposed algorithm on some known images show a high performance of this method compared to other similar methods.
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