An Intelligent Method for Compression of Medical Images in Telemedicine

The medical images can be transmitted from patient room to remote medical centers for diagnosis through the wireless network in telemedicine system. In this connection, the existing methods are unable to achieve better Compression Ratio (CR) while maintaining the lower levels of distortion. An intelligent scheme has been developed for achieving a higher compression ratio and low distortion rate. The two different clusters, Region of Interest (ROI) and Non ROI are obtained by segmentation process. Integer wavelet transform technique and Bit Plane Based Parallel Set Partitioning In Hierarchical Tree (BPBPSPIHT) are applied to lower energy cluster and the curvelet transform followed by Adaptive Arithmetic Coding are applied to ROI. In the reconstruction part, the compressed higher energy cluster (ROI) is super imposed on compressed lower energy cluster by the fusion technique. The quality measures of the proposed model are compared with different techniques.