Publication Date
2010
Document Type
Thesis
Committee Members
John Emmert (Advisor), Saiyu Ren (Committee Member), Ray Siferd (Committee Member)
Degree Name
Master of Science in Engineering (MSEgr)
Abstract
There is a growing demand from numerous commercial and military applications for images with ever-improving spatial resolution. However, there are resolution-limiting factors inherent in all imaging systems. Decreasing pixel sizes and/or increasing sensor arrays are not always viable. Super-Resolution (SR) Image Reconstruction is an image processing technique that restores a high-resolution (HR) image from a series of low-resolution (LR) images of a particular scene. Recently, there has been extensive research on robust SR algorithms used for post-processing. The goal of this thesis is to explore the current SR research and design computationally efficient SR algorithms for real-time processing based on a non-uniform interpolation approach.
Page Count
93
Department or Program
Department of Electrical Engineering
Year Degree Awarded
2010
Copyright
Copyright 2010, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
