Date of Award
3-2003
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Roger L. Claypoole, PhD
Abstract
The limited resolution of video imagery taken by aircraft, over geographical areas of interest, hinders the accurate extraction of useful information. The frame resolution of the video is determined by the camera that created it. Information exists about the camera which can be used to increase frame resolution beyond the resolution capability of the camera. This is achieved by a process called super-resolution, which uses multiple low-resolution video frames to create one high-resolution image.
AFIT Designator
AFIT-GE-ENG-03-18
DTIC Accession Number
ADA415684
Recommended Citation
Ward, Daniel L., "Redundant Discrete Wavelet Transform Based Super-Resolution Using Sub-Pixel Image Registration" (2003). Theses and Dissertations. 4245.
https://scholar.afit.edu/etd/4245