2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking
Ganga Holi, B R Madhu · 2024
The rapid growth of digital imaging and information technology has led to the adoption of telemedicine applications. For tele-health services, the exchange of patient records via the network necessitated a method to ensure confidentiality and privacy. For diagnosis and treatment, medical information including digital medical images and patient information is exchanged through insecure networks. Image watermarking is one of the most common methods for securing medical images. With performance statistics, this paper provides a comparison of particle swarm optimization (PSO) and genetic algorithm (GA) optimization methodologies. With assaults like pepper, Gaussian, speckle, JPEG compression and equalization, the proposed technique shows good results in terms of robustness.