• Manjinder Singh
• Roop Lal Sharma

Noise is major concern in MRI images. There is always a demand for noise free and enhanced MRI images for accurate diagnosis of brain diseases. Thermal noise, Gaussian noise and Rician noise are some of the noises present in MRI images. The causes for these noises are patient condition, imaging system and unskilled manpower. This leads to poor quality of image, blurring, distortion and difficulty in detection and diagnosis of brain disease. Denoising is a process of removing the noise. The aim of this work is to understand the noise models and linear denoising techniques. Median Filter, Bilateral Filter and means filter are the non-linear and linear filters used for denoising of MRI images. The performance of the filters is evaluated in terms of PSNR, MSE, SSIM and average execution time.

PSNR, MSE, SSIM, MRI

"Performance analysis of various filters used to remove noises in MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.966-972, August-2018, Available :http://www.jetir.org/papers/JETIR1808894.pdf

"Performance analysis of various filters used to remove noises in MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp966-972, August-2018, Available at : http://www.jetir.org/papers/JETIR1808894.pdf