AN OPTIMAL NOISE REMOVAL APPROACH FOR LATERAL SKULL IMAGES
Prathik Saravanan, M. Lakshmi · IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research · 2013
We are using medical imagingdevices to scan the organs of human to identify the different diseases. Thediseases are diagnosed by medical images which are produced by various medicaldevices like Ultra Sound, Magnetic Resonance Image, Computed Tomography (CT),Ultra sound and X ray Medical devices. Images are prone to different types ofnoises due medical devices. Poison noiseis commonly found in X ray images. The filters namely, Unsharp, Mean, Median,Gaussian and Weiner are used for comparative study analysis. The computedRadiography CR image qualities are improved by our comparative study offilters. The aim of this paper is to identify the best poison noise removal filterfrom the comparative study analysis of five filters. The best filter isestimated by calculating Peak Signal Noise Ratio(PSNR), Root Mean Square Error(RMSE) and Means Square Error(MSE).