The Role and Challenges of Compression in Medical Image Communication
Vinayak K. Bairagi · International Journal of Advanced Research in Computer Science · 2017
Information represented in a digitized image format is very easy to handle. These image files contain massive amounts of information, which requires efficient storage and transfer methods. There is requirement of investigation of quality issues, transfer methods, and storage mechanisms for such large size of these image files. Image compression requires less storage space for large image files. The transfer time is reduced for compressed files, while moving over networks. The aim of image compression techniques is to reduce the amount of data needed to accurately represent an image, such that this image can be economically transmitted or archived. In the field of medical imaging the use of computers is growing. Every day, a huge amount of data is produced from different medical imaging devices. Storage and transmission of this data becomes a problem, where bandwidth constraints are a major issue. This paper discusses the different types of image compression algorithm and the importance of image compression in medical communication. Some of the basic compression algorithms are used on test data and their performance is tested for wired communication.