This article introduces a robust image watermarking primarily founded on DWT (discrete wavelet transform), BEMD (bi-dimensional empirical mode decomposition), DCT (discrete cosine transform), PSO (particle swarm optimization), and SVD (singular value decomposition). During the process of embedding, 2nd level DWT is used to decompose the cover image into sub-bands. DWT is also used for the decomposition of images for watermarking. Further, BEMD decomposition runs to implement on the selected band of DWT. For optimization, PSO is used for complex and multidimensional searches. Further DCT as well as SVD applied to the selected band. The embedding and scaling factors are embedded with the help of a security key. Further, this method is followed by using the inverse of ISVD, IDCT, IDWT, and IBEMD. The Watermark image is extracted by the extraction process. Experimental results show that the suggested technique is robust compared to several geometrical and non-geometrical attacks. Therefore, this proposed technique provides better visible quality and robustness against numerous attacks like salt and pepper, Gaussian filter, rotation, median filter, speckle, gamma correction, scaling, and shearing for gray scale images and provides the watermarked image with good quality.

本文介绍了一种主要基于 DWT（离散小波变换）、BEMD（二维经验模式分解）、DCT（离散余弦变换）、PSO（粒子群优化）和 SVD（奇异值分解）的鲁棒图像水印。在嵌入过程中，使用 2nd level DWT 将覆盖图像分解为子带。DWT 还用于分解图像以进行水印。此外，BEMD 分解运行以在选定的 DWT 波段上实现。为了优化，PSO 用于复杂和多维搜索。进一步的 DCT 以及 SVD 应用于所选频段。嵌入和缩放因子是在安全密钥的帮助下嵌入的。此外，此方法之后是使用 ISVD、IDCT、IDWT 和 IBEMD 的逆。通过提取过程提取水印图像。实验结果表明，与几种几何和非几何攻击相比，所建议的技术是稳健的。因此，所提出的技术提供了更好的可见质量和针对灰度图像的盐和胡椒、高斯滤波器、旋转、中值滤波器、散斑、伽马校正、缩放和剪切等多种攻击的鲁棒性，并提供了具有良好质量的水印图像。