Coyote Optimization Algorithm with Hybrid SVD-EVD Approach for Digital Image Watermarking

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