Medical Image Authentication using DWT

Integrity and confidentiality of medical data is a serious issue for legal and ethical reasons because medical information are easily available in open networks due to the developments like Radiology information systems (RIS), hospital information systems (HIS), picture archiving and Communication Systems (PACS) which helps to store, access and distribute the medical data. So that integrity and authentication of medical images and data is necessary. To achieve this aim Steganography is best solution. This paper proposes image steganography as a means to hide this medical data inside the image without losing it. This paper focused on the medical data hiding for security and authentication of medical images. In the proposed algorithm Class Dependent Coding Scheme is used to achieve maximum capacity of medical data. This scheme is depend on the probability of the occurrence of character in the medical data. In this technique characters are divided into three classes according to the probability of occurrence. Medical image segmentation is done to protect diagnostically important part called region of interest (ROI). Text embedding is done in the rest part of an image called region of non interest (RONI). Also medical data can be embedded with LSB technique in medical image which is processed with discrete cosine transform.