The existing SVD based watermarking techniques insert watermark into the singular component which causes the false positive problem (FPP). To overcome this problem, a robust watermarking technique using a chaotic kbest gravitational search algorithm (CKGSA) in DCT and SVD domain is proposed. To eliminate the FPP, the watermark is embedded into the principal component (PC) of the cover image rather than the singular value. The objective to use CKGSA is to optimize the value of multiple embedding factors so that robustness and imperceptibility can be balanced. Arnold transform (AT) is applied to the watermark image before embedding, to enhance security and robustness. The performance of the proposed technique has been experimented on a standard dataset and compared with the six recent state-of-the-art techniques including DS-DE, DS-PSO, DCT-SVD, DDS-PSO, DS-GSA, and DS-TLBO in terms of imperceptibility (PSNR, SSIM) and robustness (PSNR, NC). The experimental results demonstrate that the proposed technique outperforms the other existing techniques.

现有的基于SVD的水印技术将水印插入单个组件，这会导致误报问题（FPP）。为了克服这个问题，提出了一种在DCT和SVD域中使用混沌kbest重力搜索算法（CKGSA）的鲁棒水印技术。为了消除FPP，将水印嵌入到封面图像的主要成分（PC）中，而不是奇异值。使用CKGSA的目的是优化多个嵌入因子的值，以便可以平衡鲁棒性和不可感知性。嵌入之前将Arnold变换（AT）应用于水印图像，以增强安全性和鲁棒性。该提议技术的性能已在标准数据集上进行了实验，并与六种最新技术（包括DS-DE，DS-PSO，DCT-SVD，DDS-PSO，DS-GSA和DS-TLBO在不易察觉性（PSNR，SSIM）和鲁棒性（PSNR，NC）方面。实验结果表明，提出的技术优于其他现有技术。