Phased Array Imaging

Abstract

The problem of recoverable image resolution is investigated for the case where an imaging array is used which array has an optical transfer function that may be described as consisting of islands of nonzero value in a sea of zero values. Can the missing spatial frequency information can be provided--can, in effect, a form of (interpolative) super resolution. The CLEAN algorithm used by radio astronomers suggests that this should be possible. The results developed here indicate that this can be done, with no significant price in terms of signal-to-noise ratio to be paid, and further show that a nonlinear algorithm, like CLEAN, is not required. The results show that the feasibility of doing this depends on the angular size of the object being imaged. We find that its size must be less than the inverse of the largest gap between 'islands' in the array's optical transfer function. Keywords: Super resolution, Sparse array, CLEAN, Image resolution, Noise, Image processing.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA228774

Entities

People

  • David L. Fried
  • Douglas T. Sherwood

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Distortion
  • Estimators
  • Frequency Response
  • Image Processing
  • Information Processing
  • Information Science
  • Measurement
  • Sampling
  • Signal Processing
  • Statistical Algorithms
  • Two Dimensional

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design