Embedding Image in Medical Images

Abstract

In recent years, telemedicine has been a preferred technique for hospitals. A doctor in one hospital may request more opinion from other doctors residing in any corner of the globe with the help of real-time transmission of medical image data. The location integration process plays a critical role here in medical applications. This causes the amount of space in the digital hospital database to be decreased. The two basic needs of an integration and retrieval system are invisibility and robustness. The main objective of this work is to make a suitable trade-off between the perceptual form of the embedded image and its effectiveness against different distortions. For this result, this paper examines two different embedding techniques in the complex contourlet transformation (CCT) domain. One is fusion based optimised embedding, and secondly, distributed spectrum based optimised embedding. Both of these approaches direct the robustness of embedding. [copyright information to be updated in production process]