Primary and Secondary Superresolution by Data Inversion (Postprint)

Abstract

Super resolution by data inversion is the extrapolation of measured Fourier data to regions outside the measurement bandwidth using post processing techniques. Here we characterize super resolution by data inversion for objects with finite support using the twin concepts of primary and secondary super resolution, where primary super resolution is the essentially unbiased portion of the super resolution data and secondary super resolution is the remainder. We show that this partition of super resolution into primary and secondary components can be used to explain why some researchers believe that meaningful super resolution is achievable with realistic signal-to-noise ratios, and other researchers do not.

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Document Details

Document Type
Technical Report
Publication Date
Jun 06, 2005
Accession Number
ADA472895

Entities

People

  • Charles Matson
  • David W. Tyler

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Bandwidth
  • Digital Images
  • Eigenvalues
  • Eigenvectors
  • Estimators
  • Extrapolation
  • Image Processing
  • Image Reconstruction
  • Inverse Problems
  • Inversion
  • Measurement
  • Random Variables
  • Square Roots
  • Wave Functions

Readers

  • Radar Systems Engineering.
  • Systems Analysis and Design