It is known that computed tomography (CT) images are corrupted by many degradations including: blurring, low contrast or noise due to different real-world limitations. Thus, it is necessary to filter these images before starting the diagnostic process. In recent years, extensive research has been carried out to reduce such undesirable degradations, in which substantial achievements have been attained from skillful researchers by providing various innovative methods. Such methods contributed significantly in improving the poor visual quality of CT images. In this article, a review about six contemporary methods for each of image enhancement, denoising and deblurring is provided due to the high-profile of CT images in the medical field. Hence, after the prevalent causes of the degradations are highlighted, adequate elucidations about the literature methods are delivered. Finally, an inclusive summary is provided.


Computed tomography, Contrast enhancement, Image deblurring, Image denoising, Image processing