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

Mayank Tanay, Rakesh Raman Agarwal, Sahil Mohta A


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.

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