Nowadays, telemedicine is used for remotely delivery of healthcare services. Medical images are used for quick and easy diagnosis with visualization of the human body. Telemedicine is used for remotely delivery of health care services by building a proper secured communication protocol infrastructure. This research paper main goal is to find out the best and trusted secured technique for all types of medical images. At the same time, it should include 100% confidentiality and patient data secured. So, considering all issues, we have introduces an advanced Image processing (IP) model to analyze the image data. By using some hybrid model IP algorithms, open-source software likes Python with AI libraries. With this backdrop, the research carried out looks at the problem of enforcing image. Confidentiality with in entirely different perception. The proposed model is applicable for all types of medical images like CT scans and MRI scan images. We have to apply some segmentation technique before the transmission of secure image. This paper main motive is to compare and study all the earlier encryption techniques by including all the elements such as standard deviation and mean square error. At the same time, it examines the amount of security and its intended use. This survey report assists the early researchers in classifying and determining the most suitable and safe methods as have been successfully utilized to that thus far.