Computational Methods for Image Reconstruction and Enhancement

摘要

This project had two goals: (1) the development of new computational techniques for image restoration; and (2) the application of these techniques to problems of interest to the US Air Force. The primary application was the identification of space objects from image data collected with ground-based optical telescopes. The achievements of the project included: (1) the publication of a number of research papers in applied and computational mathematics and applied optics journals; (2) the development of two software packages, one for image deblurring and the other for object and phase reconstruction in atmospheric optics; and (3) support for a graduate student in the research toward and preparation of the student's PhD thesis. Algorithms developed under this project have recently been implemented on supercomputers at the USAF Maui High Performance Computing Center to process image data from the USAF Maui Optical Station.