Characteristics of Images Derived from Factorable Polynomials

Abstract

Image reconstruction techniques exist which use as the input the autocorrelation function of the image. The uniqueness of the reconstructed image has been questioned. This report considers a class of images which are ambiguous in that many different images can be generated which have the same autocorrelation function. It is shown that two dimensional images generated from factorable polynomials which have unity power factors are basically uninteresting images. However, by using non-unity power factors, images with structure results. This structure varies significantly among images with the same autocorrelation function. Finally, it is pointed out that this factoring process is equivalent to convolution of the image with a pair of delta functions, leading to the ability of generating ambiguous images from functions that are not completely factorable. Examples are shown. The conclusion of the work is that caution must be exercised in interpretation of images reconstructed from autocorrelation functions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA106688

Entities

People

  • B. L. Mcglamery

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Ambiguity
  • Autocorrelation
  • Brightness
  • Coefficients
  • Computer Programs
  • Convolution
  • Delta Functions
  • Frequency Domain
  • Image Processing
  • Image Reconstruction
  • Insensitive Explosives
  • New York
  • Polynomials
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Linear Algebra