Parallel Artificial Rabbits Optimization Algorithm for Image Watermarking

This paper proposes an improved blind watermarking approach combined with a meta-heuristic algorithm. For the purpose of enhancing convergence accuracy in the original artificial rabbit optimization algorithm, a parallel artificial rabbit optimization algorithm is proposed. It prevents the algorithm from getting trapped in local optima by employing inter-group communication strategies. And a mixed-domain watermarking algorithm is proposed. In order to balance the invisibility and robustness of the watermarking, the improved artificial rabbit optimization algorithm is applied to the watermarking algorithm. The experiment proves that the improved algorithm has better convergence. accuracy, and can balance the performance of the blind watermarking algorithm.