Description
Super-Resolution (SR) techniques are widely developed to increase image resolution by fusing several Low-Resolution (LR) images of the same scene to overcome sensor hardware limitations and reduce media impairments in a cost-effective manner. When choosing a solution for the SR problem, there is always a trade-off between computational efficiency and High-Resolution (HR) image quality.
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Contributors
- Sadaka, Nabil (Author)
- Karam, Lina J (Thesis advisor)
- Spanias, Andreas S (Committee member)
- Papandreou-Suppappola, Antonia (Committee member)
- Abousleman, Glen P (Committee member)
- Goryll, Michael (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2011
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Note
- Partial requirement for: Ph.D., Arizona State University, 2011Note typethesis
- Includes bibliographical references (p. 155-166)Note typebibliography
- Field of study: Electrical engineering
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by Nabil Sadaka