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Development of an Efficient Super-Resolution Image Reconstruction Algorithm for Implementation on a Hardware Platform

Pestak, Thomas C.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1276770801

Abstract Details

2010, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
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.
John Emmert, PhD (Advisor)
Ray Siferd, PhD (Committee Member)
Saiyu Ren, PhD (Committee Member)
93 p.
Electrical Engineering
Super-Resolution; Image Reconstruction; Algorithm Development

Recommended Citations

Citations

  • Pestak, T. C. (2010). Development of an Efficient Super-Resolution Image Reconstruction Algorithm for Implementation on a Hardware Platform [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1276770801

    APA Style (7th edition)

  • Pestak, Thomas. Development of an Efficient Super-Resolution Image Reconstruction Algorithm for Implementation on a Hardware Platform. 2010. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1276770801.

    MLA Style (8th edition)

  • Pestak, Thomas. "Development of an Efficient Super-Resolution Image Reconstruction Algorithm for Implementation on a Hardware Platform." Master's thesis, Wright State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1276770801

    Chicago Manual of Style (17th edition)

wright1276770801
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© 2010, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.
Release 3.2.12