The use of encryption for medical images offers several benefits. Firstly, it enhances the confidentiality and privacy of patient data, preventing unauthorized individuals or entities from accessing sensitive medical information. Secondly, encrypted medical images may be sent securely via unreliable networks, like the Internet, without running the danger of data eavesdropping or tampering. Traditional methods of storing and retrieving medical images often lack efficient encryption and privacy-preserving mechanisms. This project delves into enhancing the security and accessibility of medical image storage across diverse cloud environments. Through the implementation of encryption methods, pixel scrambling techniques, and integration with AWS S3, the research aimed to fortify the confidentiality of medical images while ensuring rapid retrieval. These findings collectively illuminate the security, and operational efficiency of the implemented encryption, scrambling techniques, AWS integration, and offer a foundation for advancing secure medical image retrieval in multi-cloud settings.