# Invisible Shield: Unveiling an Efficient Watermarking Solution for Medical Imaging Security
## 1 Introduction
The Fast Discrete Curvelet Transform (FDCuT) stands out in medical imaging due to its multifaceted advantages. One of its primary strengths lies in its remarkable ability to ensure consistent performance across diverse image types, rendering it a dependable choice for a broad spectrum of medical imaging applications. Moreover, FDCuT's efficiency shines through its capability to swiftly extract various frequency coefficients from medical images, a crucial feature that facilitates comprehensive analysis. Notably, its resilience against geometric attacks and other manipulations further solidifies its reliability in preserving the integrity and accuracy of medical image data. Overall, FDCuT emerges as a robust and versatile tool, offering rapid coefficient extraction, steadfastness across different image types, and resilience against adversarial alterations in medical imaging. In summary, this paper aims to fill a crucial gap in the existing research by introducing an efficient watermarking algorithm that addresses the unique requirements of medical image security. The findings are expected to contribute significantly to the field by paving the way for more secure and reliable utilization of medical imagery for diagnostic and research purposes. The main contributions of this work are as follows:  
* We introduce a pioneering watermarking model designed explicitly for medical images, leveraging the Frequency Domain Curvelet Transform (FDCuT). This innovative approach dissects medical images into distinct frequency sub-bands, offering a unique and effective solution for watermark embedding in the medical imaging domain. * Our paper conducts an extensive comparative analysis, evaluating the performance of the proposed algorithm against contemporary methodologies. Performance metrics, including Peak Signal-to-Noise Ratio (PSNR) and maximum embedding capacity, provide a thorough assessment, highlighting the strengths and advantages of our model in securing medical images. * The algorithm presented in this paper is meticulously crafted to achieve an optimal balance between robustness, imperceptibility, and computational efficiency. * Our approach incorporates RSA encryption to augment the security of medical images. By integrating public-key cryptography, we establish an additional layer of protection, safeguarding sensitive medical data against unauthorized access and ensuring the confidentiality of embedded information. The rest of the paper is organized as follows: Section 2 provides a comprehensive overview of medical image encryption technology, detailing its principles, methodologies, and critical advancements. Section 3 introduces the proposed system and a detailed description of the novel approach or methodology proposed in this study within the context of medical image encryption. Moving forward, Section 4 delves into the presentation of results, discussing the outcomes derived from simulations and performance analysis. This section elaborates on the simulation results and performance metrics obtained from the proposed system. Following that, Section 5 engages in a detailed discussion concerning the performance evaluation of the proposed system in comparison to similar algorithms, elucidating the measures and metrics used for contrast and highlighting the system's comparative strengths and weaknesses. Finally, Section 6 encapsulates the conclusions drawn from this study, summarizing key findings, insights, and potential implications for the field of medical image encryption.