PERFORMANCE ANALYSIS OF IMAGE FILTERING ALGORITHMS FOR MRI IMAGES

Sivasundari .S, R. Siva Kumar, M.Karnan

Abstract: In Image Processing, the digital images are much sensitive to noise which results due to the Image Acquisition errors and transmission errors.MRI images captured usually are prone to speckle noise, Gaussian noise, salt and pepper noise etc., Image filtering algorithms are applied over the noisy images to remove the noise and preserve the image details. In this work three different filtering algorithms such as Median filter (MF), Weiner filter (WF) and Center Weighted Median filter (CWM) are used to remove the noise present in the MRI images. The performance of these filters are compared using the statistical parameters such as Mean Square Error(MSE) and Peak Signal to Noise Ratio(PSNR).The study shows that the Weiner filters reconstructs a high quality image than Median and Center weighted Median filter.

Keywords: Median filter (MF), Weiner filter (WF), Center Weighted Median filter (CWM), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).

DOI: https://doi.org/10.15623/ijret.2014.0305080