MEDICAL IMAGE DENOISE METHOD BASED ON CURVELET TRANSFORM: AN APPROACH FOR EDGE PRESERVATION

In medical images noise and artifacts are presented due to the measurement techniques and instrumentation. Because of the noise present in the medical images, physicians are unable to obtain required information from the images. The paper proposes a noise reduction method for both computed tomography (CT) and magnetic resonance imaging (MRI) which fuses the C urvelet transform based method. The performance is analysed by computing Peak Signal to Noise Ratio (PSNR).The results show the p roposed method can obt ain enhanced visual and de - noise effect.