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Description:: In this dissertation, we start with the dictionary learning (DL) based single-frame super-resolution (SR) problem, where low resolution (LR) input frames are super-resolved to high resolution (HR) output frames. We propose to extend the previous single-frame SR methods to multiple-frames, i.e., estimating single HR output frame by multiple LR input...
Keyword:: adaptive sampling, super resolution, inverse problem, image fusion, deep learning, and machine learning
Subject:: Electrical Engineering
Creator:: Qiqin Dai
Owner:: Scholarly Digital Publishing
Date Uploaded:: 10/26/2018
Date Modified:: 01/29/2019
Date Created:: 2017-01-01
Resource Type:: Dissertation

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