An improved algorithm for medical image compression

Abstract

The objective of image compression is to reduce of the image data in order to be able to store or transmit data in efficient form. One of the medical standards is the DICOM (Digital Imaging and Communications in Medicine) Standards Committee exists to create and maintain international standards for communication of biomedical diagnostic and therapeutic information in disciplines that use digital images and associated data. The important issues to be considered with the DICOM communication are memory requirement, bandwidth constraint and battery resource constraint. In the proposed method, first Segmentation is applied to get two different clusters (ROI and Non ROI). Integer Wavelet Transform based compression is applied for Higher Energy clusters and JPEG is applied for another cluster. In the reconstruction part both the reconstructed clusters are fused by fusion technique. Since Lossless and lossy compression methods are used to get high compression ratio and high quality image. Efficient edge information is obtained by using Fusion. © 2012 Springer-Verlag.