A Survey on Blind De-Blurring of Digital Image

Abstract

Nowadays, huge digital images are used and transferred via the Internet. It has been the primary source of information in several domains in recent years. Blur image is one of the most common difficult challenges in image processing, which is caused via object movement or a camera shake. De-blurring is the main process to restore the sharp original image, so many techniques have been proposed, and a large number of research papers have been published to remove blurring from the image. This paper presented a review for the recent papers related to de-blurring published in the recent years (2017-2020). This paper focused on discussing various strategies related to enhancing the software's for image de-blur. The aim of this research is to help researchers to understand the current algorithms and techniques in this field, and eventually may developing new and more efficient algorithms for enhancing blurred images.

An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration

“…the most important factor in determining image quality. The R-L algorithm can be used efficiently when PSF is known or there is little or no noise data available [19]. The R-L algorithm is built on a maximum likelihood technique which uses Poisson statistics to model the image.…”