Performance Analysis of CT Scan and X-Ray Medical Images Compression Using PCA and WDR techniques

Abstract

Image compression which is a subset of data compression plays a crucial task in medical field. The medical images like CT, MRI, PET scan and X-Ray imagery which is a huge data, should be compressed to facilitate storage capacity without losing its details to diagnose the patient correctly. Now a days artificial neural network is being extensively researched in the domain of image processing. This paper examines the performance of two techniques namely Principle Component Analysis (PCA) and Wavelet difference reduction (WDR). Wavelet difference reduction method is a wavelet coding technique. The potential of the techniques to compress the medical image and achieving good quality is measured by MSE and PSNR quality metrics. The investigation is carried on CT scan of lower abdomen and X-ray scan of Rib Cage medical images.

Keywords: Image Compression, Wavelet, WDR, PCA