A New Robust and Secure 3-Level Digital Image Watermarking Method Based on G-BAT Hybrid Optimization

This contribution applies tools from the information theory and soft computing (SC) paradigms to embedding extraction of watermarks in aerial remote sensing (RS) images protect copyright. By time 5G came along, Internet usage had already grown exponentially. Regarding copyright protection, most important responsibility digital image watermarking (DIW) approach is provide authentication security for content. In this paper, our main goal RS transmitted over by proposal a hybrid using both redundant discrete wavelet transform (RDWT) singular value decomposition (SVD) schemes DIW. Specifically, SC adopted work numerical optimization critical parameters. Moreover, 1-level RDWT SVD are applied on cover matrices LH HL sub-bands selected watermark embedding. Further SLH SHL split into 3×3 non-overlapping blocks, diagonal positions used Three-level symmetric encryption with low computational cost ensure higher security. A grasshopper–BAT (G-BAT) SC-based algorithm also proposed order achieve high quality DIW outcomes, broad comparison against other methods state-of-the-art provided. The experimental results have demonstrated that provides levels imperceptibility, robustness, capacity when dealing images, even than methods.