A Survey on Blind De-Blurring of Digital Image

Ali Hussein  Abdulkhaleq; Nidhal K.  El Abbadi; Safaa Alwan  Al Hassani

doi:10.24996/ijs.2022.63.1.32

Authors

Ali Hussein Abdulkhaleq Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa and AL-Furat Al-Awsat Technical University, Najaf, Iraq
Nidhal K. El Abbadi Department of Computer Science, Faculty of Education, University of Kufa, Najaf, Iraq
Safaa Alwan Al Hassani Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Najaf, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.1.32

Keywords:

Blur, Digital Image, Filters, Motion blur, PSF

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.