GCSO: Grey-Cuckoo Search Based Optimization for Security of Medical Images Through Watermarking

The article presents a groundbreaking approach to securing medical images through watermarking, leveraging a hybrid optimization algorithm that combines the strengths of Grey Wolf and Cuckoo Search techniques. This innovative method ensures robust and imperceptible watermarking, crucial for protecting sensitive medical data. The integration of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with the Grey-Cuckoo Search Optimization (GCSO) algorithm enables the embedding of watermarks that remain intact despite various image processing operations. The article delves into the detailed implementation of the proposed scheme, including the use of Arnold transform and RSA encryption for enhanced security. It also provides an extensive comparative analysis with existing watermarking techniques, demonstrating the superior performance of the GCSO algorithm in terms of Peak Signal-to-Noise Ratio (PSNR), Bit Error Rate (BER), and Normalized Correlation (NC). The robustness of the proposed method is further validated through various attack scenarios, showcasing its resilience against image processing, geometric, and noising attacks. The article concludes with a discussion on the potential real-world applications and future directions for this advanced watermarking technique, making it a must-read for those interested in cutting-edge digital image security solutions.