Construction of a mosaic image using a set of low resolution images taken at different
zoom settings and at different angles was investigated in this thesis. The proposed reconstruction algorithm uses the zoom based super resolution technique, based on maximum likelihood estimate. A computationally less intensive point matching algorithm was introduced based on a known algorithm. The simulation results show that the implemented algorithm can find point correspondences of images successfully, even they are differently zoomed, that helps for image registration. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering / "December 2006." / Kansas National Science Foundation (NSF) EPSCOR Program, First Award Grant KUCR #NSF32241
| Identifer | oai:union.ndltd.org:WICHITA/oai:soar.wichita.edu:10057/649 |
| Date | 12 1900 |
| Creators | Jayasooriya, Chandana K.K. |
| Contributors | Kwon, Hyuck M., Jayaweera, Sudharman K. |
| Source Sets | Wichita State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | ix, 50 leaves: ill., digital, PDF file., 3134938 bytes, application/pdf |
| Rights | Copyright Chandana K.K.Jayasooriya, 2006. All rights reserved. |
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