High Resolution Imaging Using Phase Retrieval. Volume 2

Abstract

This report describes a technique for obtaining fine-resolution images, suitable for SDI midcourse discrimination, using an inexpensive, lightweight telescope that would ordinarily yield a poor image. If, instead of collecting a blurred image with the telescope, one sends the light through an amplitude interferometer, then the modulus, but not the phase, of the Fourier transform of the object can be measured, despite the aberrations. We have developed and analyzed phase retrieval algorithms that recover the unknown Fourier phase, which allows a fine-resolution image to be reconstructed despite the aberrations of the telescope. It will also correct aberrations due to atmospheric turbulence for a ground-based telescope, and can be used with several other imaging modalities. For the case of interferometry through a partially obscured aperture, an algorithm was developed that combines phase retrieval with interpolation in order to restore the information at the missing spatial frequencies while retrieving the phase at the unobscured spatial frequencies. Another new phase retrieval algorithm, based on the Ayers/ Dainty blind deconvolution algorithm, was also developed. A new methodology for exploring the uniqueness of phase retrieval in a practical sense was developed and tested. It involves finding the ambiguous image which is closest to a given image by a reduced-gradient search technique. The computational requirements for the phase retrieval algorithm were quantified. Laboratory experiments to test the technique were initiated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1991
Accession Number
ADA242925

Entities

People

  • Jack N. Cederquist
  • James Fienup
  • John D. Gorman
  • John H. Seldin

Organizations

  • Environmental Research Institute of Michigan

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Computer Architecture
  • Computers
  • Data Science
  • Detectors
  • Diffraction
  • Estimators
  • Frequency Bands
  • Geometry
  • Image Processing
  • Image Reconstruction
  • Information Science
  • Optics
  • Random Variables
  • Signal Processing
  • Theorems
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Operations Research

Technology Areas

  • Space
  • Space - Space Objects