ANALYSIS OF CRANIAL ULTRASOUND IMAGES FOR NOISE REDUCTION USING WIENER FILTER

Abstract

In this paper we are describing Medical images are affected by the Mixed Noise, which is the combination of Speckle & Gaussian Noise. Mixed Noise is an inherent property of CRANIAL Ultrasound Imaging (CUS) & it is generally tends to deteriorate the image quality, thereby reducing the diagnostic value of this medical imaging modality. As a result the noise reduction filtering is considered to be an important & essential procedure to be used, whenever CUS image is used for brain tissue and the flow of blood to the brain. wiener filtering is used to reduce the mixed noise in CUS Image. This method reduces the noise & hence the quality of the image is enhanced. Experimental results show a significant improvement in removing the mixed noise present in the CUS Image by giving better PSNR, MSE & SNR values; the experimental results demonstrate the efficiency of Wiener Filtering Method.