Image compression on biomedical images using predictive coding with the help of ROI

Abstract

The improvement of multimedia, biomedical, medical and digital imaging has led to huge amount of data required to represent modern imagery. This requires a large disk space for storage and more time for transmitting from one computer networks to the other. Both are relatively expensive. In the biomedical images, the resolution is also very high. So, the factors like large space for storage, time and high resolution proves the need for images compression. Image compression addresses those problems and gives the solution of reducing the space required to represent biomedical image and then this takes less time to transmission from one computer network to other and it converts high resolution into the low resolution. Biomedical images are in the form of DICOM. In this paper we consider the condition of medical report. If we send the biomedical image of person from one place to other by using the network, then we will perform the compression techniques. In this paper we also perform the inverse transform for encoding or decoding the image. In this paper we propose the predictive compression algorithm with the help of ROI on biomedical images.