Coyote Optimization Algorithm with Hybrid SVD-EVD Approach for Digital Image Watermarking
R Parthiban, S. Manikandan · International Journal of Electronics and Communication Engineering · 2023
The proliferation of digitalized media on the Internet has assisted in enhancing digitalization, which has increased copyright issues. To solve these copyright issues, digital watermarking methods were used. Digital image watermarking refers to a method in which watermark data is embedded into multimedia products and can be detected or extracted from the watermarked product later. Such techniques ensure content verification, tamper-resistance, integration, and image authentication. Therefore, this study develops a coyote optimization algorithm-based hybrid (COA-hybrid) model for digital Image watermarking. The presented COA-hybrid technique focuses on designing an effective image watermarking approach to fulfil the requirements of imperceptibility and robustness. In addition, the COA-hybrid model integrates the concepts of Singular Value Decomposition (SVD) and Eigen Value Decomposition (EVD). Here, the COA-hybrid technique embeds the watermarking on the DWT sub-band of the cover image. In addition, the watermarking’s placed on the particular value components of the DWT sub-band of the cover imaging. Finally, the COA is utilized to adjust the parameters related to the hybrid model to increase fitness function. The simulation results of the COA-hybrid model are tested on different images, and the results reported the improvements of the COA-hybrid model over other models.