Rayachoti Eswaraiah
ABSTRACT
Telemedicine is overcoming obsession and is now a thriving research area. Commuting therapeutic images between distant locations is a common occurrence in telemedicine, as therapeutic images are often used by remote specialists to make inferences about diagnosis. The majority of therapeutic photographs are sent through the internet. When commuting over the internet, therapeutic photos can be attacked by various types of noise. The use of noise-affected therapeutic images may result in a misdiagnosis. As a result, the remote authority must vouch for the validity of the significant component (ROI) in the therapeutic picture and retrieve the ROI if it has been harmed by noise. This paper introduces a ground breaking watermarking method that uses Fast and Adaptive Bi-dimensional Empirical Mode Decomposition (FABEMD) to recover the ROI in a therapeutic picture when it is attacked by noise. Experiments with this novel technique have shown that the ROI in therapeutic images can be returned to its original state.
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