Multi-frame super-resolution: a survey
One of the primary measurements of image quality is image resolution. High-resolution images are often required and desired for most of applications as they embody supplementary information. However, the best utilization of image sensors and optical technologies to increase the image pixel density i...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/75868/ http://irep.iium.edu.my/75868/1/Multi-Frame%20Super-Resolution%20A%20Survey.pdf |
| _version_ | 1848788195881254912 |
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| author | Khattab, Mahmoud Zeki, Akram M. Alwan, Ali Amer Badawy, Ahmed Thota, Lalitha |
| author_facet | Khattab, Mahmoud Zeki, Akram M. Alwan, Ali Amer Badawy, Ahmed Thota, Lalitha |
| author_sort | Khattab, Mahmoud |
| building | IIUM Repository |
| collection | Online Access |
| description | One of the primary measurements of image quality is image resolution. High-resolution images are often required and desired for most of applications as they embody supplementary information. However, the best utilization of image sensors and optical technologies to increase the image pixel density is usually restrictive and overpriced. Therefore, the effective use of image processing techniques for acquiring a high-resolution image generated from low-resolution images is an inexpensive and powerful solution. This kind of image improvement is named image super-resolution. This paper undertakes to investigate the current super-resolution approaches adopted to generate a highresolution image. Furthermore, it highlights the strengths and the limitations of these approaches. More to the point, several image quality metrics are discussed to measure the similarity between the reconstructed image and the original image. |
| first_indexed | 2025-11-14T17:36:58Z |
| format | Proceeding Paper |
| id | iium-75868 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:36:58Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-758682020-01-10T09:14:40Z http://irep.iium.edu.my/75868/ Multi-frame super-resolution: a survey Khattab, Mahmoud Zeki, Akram M. Alwan, Ali Amer Badawy, Ahmed Thota, Lalitha QA75 Electronic computers. Computer science QA76 Computer software One of the primary measurements of image quality is image resolution. High-resolution images are often required and desired for most of applications as they embody supplementary information. However, the best utilization of image sensors and optical technologies to increase the image pixel density is usually restrictive and overpriced. Therefore, the effective use of image processing techniques for acquiring a high-resolution image generated from low-resolution images is an inexpensive and powerful solution. This kind of image improvement is named image super-resolution. This paper undertakes to investigate the current super-resolution approaches adopted to generate a highresolution image. Furthermore, it highlights the strengths and the limitations of these approaches. More to the point, several image quality metrics are discussed to measure the similarity between the reconstructed image and the original image. IEEE 2019-08-01 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/75868/1/Multi-Frame%20Super-Resolution%20A%20Survey.pdf Khattab, Mahmoud and Zeki, Akram M. and Alwan, Ali Amer and Badawy, Ahmed and Thota, Lalitha (2019) Multi-frame super-resolution: a survey. In: 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 13-15 December 2018, Madurai, India. https://ieeexplore.ieee.org/abstract/document/8782382 10.1109/ICCIC.2018.8782382 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Khattab, Mahmoud Zeki, Akram M. Alwan, Ali Amer Badawy, Ahmed Thota, Lalitha Multi-frame super-resolution: a survey |
| title | Multi-frame super-resolution: a survey |
| title_full | Multi-frame super-resolution: a survey |
| title_fullStr | Multi-frame super-resolution: a survey |
| title_full_unstemmed | Multi-frame super-resolution: a survey |
| title_short | Multi-frame super-resolution: a survey |
| title_sort | multi-frame super-resolution: a survey |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://irep.iium.edu.my/75868/ http://irep.iium.edu.my/75868/ http://irep.iium.edu.my/75868/ http://irep.iium.edu.my/75868/1/Multi-Frame%20Super-Resolution%20A%20Survey.pdf |