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Multi-frame super-resolution: a survey

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.

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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.

Item Type: Conference or Workshop Item (Slide Presentation)
Additional Information: 7094/75868
Uncontrolled Keywords: Super-resolution, frequency domain, spatial domain, image interpolation, 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 > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: DR. ALI A. ALWAN AL-JUBOORI
Date Deposited: 12 Nov 2019 14:33
Last Modified: 10 Jan 2020 17:14
URI: http://irep.iium.edu.my/id/eprint/75868

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