• Dr.Aziz Makandar
• Rashmi Somshekhar

In medical imaging de-nosing of the images plays an important role in analyzing the images. Now days there are many imaging modalities available for identifying the disease. The MRI imaging modality is one which is used to identify the Alzheimer’s disease. Due to transmission error, while capturing and storing the images the images are liable to find some common noises like Gaussian noise, salt and pepper noise and speckle noise where it is difficult to trace out the region of interest for the diagnosis of the disease. So, it’s important to de-noise the images for proper identification of the diseases and for the further treatment plans. The study shows the comparative analysis of different noises added to the MR images of Alzheimer’s disease and noise removed by using the de-noised techniques. We have, considered all the two common noises present in the MRI images and the two filtering techniques like median and wiener filters which are commonly used in medical images for de-noising the image. The results are compared with the PSNR values.

Alzheimer’s disease, MRI images, Gaussian noise, salt and pepper noise, median filter and wiener filter.

"Comparative Study on De-Noising the MRI images for Alzheimer’s disease ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.277-280, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06063.pdf

"Comparative Study on De-Noising the MRI images for Alzheimer’s disease ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp277-280, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06063.pdf