Optimized compression techniques for telemedicine therapeutic images

Generally in therapeutic field scanning performed on the small portion of an image however it comes about high cost and less transmission speed because of its huge image size. Progressively it is extremely troublesome errand to lessen the extent of the image without loss of data. At this circumstance by utilizing some compression techniques which are having the competence of higher reconstruction quality we will lessen the size of the image. Be that as it may, the nature of a picture assumes a key part in the prescription. Because of this reason we proposed optimized compression techniques. As a part of this technique we are performing region based segmentation technique by splitting the image into two regions, ROI and NONROI which are trailed by applying LOSS and LOSSLESS compression techniques. By applying various wavelets for ROI and NONROI images, we will compute the compression ratio and distinguish the best suitable wavelet technique. At that point we will accomplish our prerequisites i.e. image with high transmission speed, less cost and less size. Finally compacted image ought to be transmitted through versatile and web administrations. This research article assures support for the needy society with regarding cost effective who are suffering with diseases.