DWT based Compression of X-Ray Images using Fuzzy C - Means

Abstract

People, Hospitals and many other organizations manage to store a large amount of files
inside their storage devices. Once the storage reaches its limit then the organizations try to
minimize the files size by using different compression techniques. In this paper, we focus on
lossless image compression for DICOM images using clustering approach. Cluster of data
point is formed by Fuzzy C-mean clustering approach. An automatic threshold is selected by
this clustering approach and the data point whose pixel intensity is greater than threshold is
grouped into one cluster and the data point whose pixel intensity is less than threshold is
grouped into another cluster. Hence we obtain region of interest (ROI) and Non-region of
interest (N-ROI). Discrete wavelet transform (DWT) is used to compress the image and
inverse DWT is used to regenerate the image.