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...

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Main Authors:	Khattab, Mahmoud, Zeki, Akram M., Alwan, Ali Amer, Badawy, Ahmed, Thota, Lalitha
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	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

id	iium-75868
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
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
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.
format	Conference or Workshop Item
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
title	Multi-frame super-resolution: a survey
title_short	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_sort	multi-frame super-resolution: a survey
publisher	IEEE
publishDate	2019
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
first_indexed	2023-09-18T21:47:18Z
last_indexed	2023-09-18T21:47:18Z
_version_	1777413535483035648

Multi-frame super-resolution: a survey

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