Signal Processing for High-Resolution Image Formation.

Abstract

This research program investigated signal processing problems encountered in high- resolution image formation. Reliable imaging of scenes with high resolution and high speed is an important and key part of any defense system. In some imaging systems, the image has to be constructed from linear measurements and convex constraints(such as upper and lower bounds on image sample magnitude, and support limits). studied iterative, finite parameter reconstructions that lead to images that meet constraints, match the data to within a pre-specified tolerance, and come closest to a given nominal. e addressed three different aspects of signal/image reconstruction, namely, (1) Developing fast algorithms for high resolution signal/image reconstruction, (2) Resolutions Analysis of signal reconstruction algorithms, (3) Numerical and computational aspects of signal reconstruction viz: stability and regularization. (MM)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 28, 1994
Accession Number
ADA290648

Entities

People

  • Arun S. Karalamangala

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Convex Sets
  • Data Acquisition
  • Eigenvalues
  • Electrical Engineering
  • Equations
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • High Resolution
  • Image Reconstruction
  • Integral Equations
  • Measurement
  • Observation
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.