PERCEPTUAL METHOD FOR MRI MEDICAL IMAGES IMPROVEMENT IN PRESENCE OF IMPULSE NOISE
Jamal Kamil K. Abbas, A. A-K. Ruhaima, Ali Ihsan Alanssari, Volodymyr Pyliavskyi · Telecommunications and Radio Engineering · 2020
Medical imaging technology gives a good solution in the diagnosis and treatment of patients suffering from a serious illness. Noise removal from medical images is an important task in medical examination to increase the accuracy in disease detection. Diagnostic imaging is a common term for a wide field of medical examinations such as X-ray, ultrasound images, computed tomography and magnetic resonance imaging. Creating clinical human body images by magnetic resonance imaging (MRI) is an important technique in modern medical science. Unfortunately, medical images suffering from various types of noise. This paper focuses on impulse noise detection and removal system in medical scanned images. The designed system presents a new approach to impulse noise detection in medical images based on visual perceptibility. The detected noise is removed by applying a nonlinear filter to the corrupted pixel only. The proposed method is examined compared with classic filtering procedure and it acts effectively in preserving image details while removing the noise.