Stefan Korolija, Eva Tuba, Milan Tuba
Magnetic resonance images, magnetic resonance noise, non-local means filter, magnetic resonance images denoising
Digital images and digital image processing were widely researched in the past decades and special place in this field have medical images. Magnetic resonance images are a very important class of medical images and their enhancement is very significant for diagnostic process. In this paper we presented an algorithm for improving magnetic resonance images of the brain. Common degradation of the magnetic resonance images is caused by the noise. We tested adjusted non-local means filter for removing random noise in the magnetic resonance images of the brain. Several evolution metrics were used to prove the quality of the proposed method.
Cite this paper
Stefan Korolija, Eva Tuba, Milan Tuba. (2016) An Algorithm for Medical Magnetic Resonance Image Non-Local Means Denoising. Signal Processing, 1, 138-145