Stationary Wavelet Transform with Modified Grey Wolf Optimizer for Digital Image Watermarking

Robust digital image watermarking is a data security system which is extremely utilized for resolving many problems mainly concerned with copyright protection and ownership authentication. Robust watermarking conceals a lesser signal termed a "watermark" in a host image from a procedure imperceptible to human vision. The efficacy of conventional robust watermarking is dependent upon the frequency domain connected directly to the outcomes of performance for imperceptibility and robustness. This study designs a Stationary Wavelet Transform with Modified Grey Wolf Optimizer (SWT- MGWO) for Digital Image Watermarking. The presented SWT- MGWO technique aims to accomplish multimedia security via the watermarking process. To attain this, the presented SWT- MGWO technique initially employs the SWT technique for the image decomposition process. To determine the pixel positions for embedding, the MGWO technique was involved in this study. Besides, the SWT-MGWO technique performs a process of embedding and extraction. The performance validation of the SWT-MGWO technique is validated on a set of benchmark test images and the experimental outcomes represent its superiority in terms of different measures.