Secure medical Image Authentication Frameworks for x ray Images

Abstract

Medical images and patient data are routinely communicated to a remote radiologist for diagnostic assistance in modern healthcare systems; hence, data transfer accuracy is critical. In addition to its benefits, digital communication has presented substantial challenges, including security, privacy, and authenticity issues. There is a risk of intentional or unintentional manipulation. The consequences of life-threatening diagnoses could be severe. As a result, it is critical to emphasize integrity and authenticity when displaying medical images inside and outside the institution. Digital watermarking is a better solution for proving the authenticity of medical images. A watermarking technique embeds a message, text fragments, or a watermark image within a cover image. Watermarking schemes are only effective if the object they are applied to makes it impossible to ascertain where the watermarked image originated. This indicates that watermarks should be imperceptible to humans. Ideally, a secure watermarking system would render the watermark impossible to detect, erase, or alter. In addition to security, robustness, invisibility, capacity, and complexity, there are a variety of other possible flaws. Therefore, the objectives of the present work were as follows: newline1. X Ray Image Authentication Scheme Using SLT and Contourlet Transform for Modern Healthcare Systems newline2. Histogram Segmentation and Contourlet Transform-Based Medical Image Authentication Framework for Secure Healthcare System newline3. A Robust Medical Image Watermarking Scheme based on Nature Inspired Optimization for Tele-medicine Applications. newline