Computational Methods for Image Reconstruction and Enhancement

Abstract

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA381745

Entities

People

  • Curtis R. Vogel

Organizations

  • Montana State University

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computational Science
  • Computer Programs
  • Computers
  • Differential Equations
  • Equations
  • Geography
  • Ground Based
  • High Performance Computing
  • Image Processing
  • Image Reconstruction
  • Inverse Problems
  • Mathematical Models
  • Mathematics
  • Partial Differential Equations
  • Supercomputers

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Research Science/Academic Research

Technology Areas

  • Space
  • Space - Space Objects