• Anandha Jothi
• V.Balasubramanian
• V.Palanisamy

The Magnetic Resonance Image (MRI) brain image is used to diagnose brain deceases in medical field. The medical image preprocessing is one of the recent techniques to identify the defected parts in human body. In this paper, we studied the approach of image enhancement using human brain MR image. The major objective of this work is to remove the unwanted noise from a given input image. We suggest the brain MR image de-noising methods are delivered. The linear filters are applied on the MR brain image and the results are noted. The experimental results of the studied method are compared with the other methods. The efficiency of the method was measured by the statistical parameters such as Mean Square Error (MSE) and Peak signal to Noise Ratio (PSNR).

MRI, Brain, Liner filters, MSE, PSNR, Impulse noise

"MR Brain Image Enhancement and Removal of Impulse Noise Using Median Filters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.67-70, June 2019, Available :http://www.jetir.org/papers/JETIR1906R46.pdf

"MR Brain Image Enhancement and Removal of Impulse Noise Using Median Filters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp67-70, June 2019, Available at : http://www.jetir.org/papers/JETIR1906R46.pdf