Denoising Medical Images Using Hybrid Filter With Firefly Algorithm

Abstract

In recent days, image processing assumes an indispensable part in numerous fields, especially in medical fields where we require a precise image details for further determination, diagnosis, research purposes etc. Medical images, for example, CT, X-ray, MRI has an imperfection that they create images with noise. These noise emerge because of camera sensor cells, poor enlightenment, transmission etc. These blended sort of noise ought to be expelled from the images keeping in mind the end goal is to deliver a quality image. So here we utilize a blend of filters to assess the noise from the images. The filtered output images are then assessed by method for firefly algorithm in light of artificial neural network systems for the exact image details. The nature of the picture is estimated by strategy for RMSE, PSNR and SSIM and so forth...