Watermarking system for telemedicine based on FABEMD

Telemedicine enables the patients to access the best medical consultations even from remote locations and for the doctor to be able to evaluate and to diagnose a health problem. This technological development has been a milestone for health care services the world over. This technology had enabled scores of people to access the best medical care despite the fact that are not near to these services. But this technology also has its inherent drawbacks like transmission of the medical images in a reliable manner without any tampering. This paper deals with those issues. Therapeutic images are largely commuted over the internet. Therapeutic images may be attacked by diverse kinds of noise while commuting through the internet. Utilizing these noise attacked therapeutic images may lead to wrong diagnosis. Hence the remote authority must attest the veracity of the significant part (ROI) in therapeutic image and recover the ROI on the off chance that it has been attacked by noise. This paper presents an innovative watermarking system which uses Fast and Adaptive Bi-dimensional Empirical Mode Decomposition (FABEMD) to recover the ROI in a therapeutic image when it is attacked by noise. Experiments carried out using this novel technique proves that the ROI in therapeutic image is restored to its original state.