A survey on image restoration using hybrid channel based on firefly algorithm

In the diagnostic medical images, the critical component is to lessen the Gaussian noise, which is found in the medical images and make better picture quality. In many cases, the speckle noise corrupts the fine subtle elements and edge definitions of the images. so it ought to be filtered. In this paper, a computed aided diagnostic system for finding the amiable and threatening liver tumours from computed tomography images is presented. This paper proposes the distinctive hybrid techniques for evacuation of mixed type of noise from the images and the image restoration is achieved by the firefly algorithm. Noise arise due to different variables like bit error rate, malfunctioning of camera sensor cells, dead pixels etc. The Hybrid filter can expel mixed type of noise. The quality of the enhanced image is measured by means of the Root mean square error(RMSE), Peak signal to noise ratio(PSNR).