A Comprehensive Study on Significance of Image De-Noising and De-Blurring Applications in Computed Tomography

De-noising and De-blurring is the technique that uses procedures to subsidize and remove the strange and useless content in the images De-noising and de-blurring is very beneficial for detecting the diseases like cancers, tumors in human body. But noise and Blur are the major factors that degrade the quality of images and makes difficult to diagnose. Reconstructing the images is the way to overcome these problems. This paper presents the study of various applications that are suitable to reconstruct the images. This survey mainly focuses on most prominent applications in the field of image processing and how its applications are critical enough to avoid dissatisfied results. The aim of this survey is to provide useful information on various de-blurring and de-noising applications and to motivate research to implement the effective algorithm.