Enhanced data concealing technique to secure medical image in telemedicine applications
G. Vallathan, G. Gayathri Devi, Anitha Kannan · 2016
Telemedicine application involves in locales where enormous amount of medical data is to be securely transferred over the public network in an effective conduct. Whilst the data is accessed by an illegitimate individual, it may lead to malicious attack or any modification of medical image may result in misdiagnosis. In this paper, both encryption and steganography technique is employed to improve the security of both patient's privacy information and the medical image. The host medical image undergoes Contourlet Transform to provide the innate geometrical structures of an image like curves instead of points and it offers the directionality and anisotropy property. Next, the patient privacy information is embedded over the High frequency components of a transformed image using LSB embedding algorithm. Finally the data concealed image is encrypted using LBG algorithm to ensure security. The superiority of the system is analyzed by some of the critical performance metrics such as MSE (Mean Square Error), PSNR (Peak signal to noise ratio), and SSIM (structural similarity index).