Date of Award
Spring 2022
Access Restriction
Research Projects
Degree Name
Master of Science
Department
Computer Science
School or College
Seaver College of Science and Engineering
First Advisor
B.J. Johnson
Second Advisor
Ray Toal
Third Advisor
Mandy Korpusik
Abstract
Most generic systems and hardware for non-governmental users lack capability to process images in high resolution coming from aerial crafts such as satellites, drones, airplanes and helicopters. These images are being displayed in poor quality due to the software running on low budgets, which restricts the high resolution they need. In this project I researched ways to obtain super high resolution images from aerial crafts for low cost and compared which method works best in producing the clearest and fastest images. I connected with the Loyola Marymount University Marketing team to collaborate with their photographers in producing the best quality aerial coverage images for the campus and city of Los Angeles.
Recommended Citation
Murphy, Jamison, "Super-High Resolution Imaging Using Easy Accessible Resources" (2022). LMU/LLS Theses and Dissertations. 1149.
https://digitalcommons.lmu.edu/etd/1149
