Khattab, Mahmoud and Zeki, Akram M. and Alwan, Ali Amer and Badawy, Ahmed S. (2020) Regularization-based multi-frame super-resolution: a systematic review. Journal of King Saud University - Computer and Information Sciences, 32 (7). pp. 755-762. ISSN 1319-1578 E-ISSN 2213-1248
|
PDF
- Published Version
Download (841kB) | Preview |
|
|
PDF (SCOPUS)
- Supplemental Material
Download (92kB) | Preview |
Abstract
High-resolution is generally required and preferred for producing more detailed information inside the digital images; therefore, this leads to improve the pictorial information for human analysis and interpretation and to enhance the automatic machine perception. However, the real imaging systems may introduce some degradation or artifacts in the digital images. These distortions in the images are caused by a variety of factors such as blurring, aliasing, and noise, which may affect the resolution of imaging systems and produce low-resolution images. Numerous strategies like frequency and spatial domain approaches have been proposed in the literature. Spatial domain approaches are classified as one of the most popular approaches and split into interpolation-based approaches and regularization-based approaches. Nevertheless, these techniques still suffer from artifacts. Regularization-based approaches are a challenging in image super-resolution in the last decade. This paper attempts to investigate the current regularization-based super-resolution approaches which are commonly used for reconstructing the high-resolution image in the last decade. Furthermore, the focus is given on highlighting the strengths and limitations of these approaches aiming at determining their effectiveness and quality in reconstructing high-resolution images.
| Item Type: | Article (Review) |
|---|---|
| Additional Information: | 6153/67940 |
| Uncontrolled Keywords: | Super-resolution, Multi-frame, Resolution enhancement, Regularized framework |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
| Depositing User: | DR. ALI A. ALWAN AL-JUBOORI |
| Date Deposited: | 05 Dec 2018 09:57 |
| Last Modified: | 09 Apr 2024 11:45 |
| URI: | http://irep.iium.edu.my/id/eprint/67940 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics