Feasibility Studies of Optical Processing of Image Bandwidth Compression Schemes.

Abstract

The two research activities are included as two separate divisions of this research report. The research activities are as follows: 1. Adaptive Recursive Interpolated DPCM for image data compression (ARIDPCM). A consistent theme in the search supported under Grant Number AFOSR under Grant AFOSR-81-0170 has been novel methods of image data compression that are suitable for implementation by optical processing. Initial investigation led to the IDPCM method of image data compression. 2. Deblurring images through turbulent atmosphere. A common problem in astronomy is the imaging of astronomical fluctuations of the atmosphere. The microscale fluctuations limit the resolution of any object by ground-based telescope, the phenomenon of stars twinkling being the most commonly observed form of this degradation. This problem also has military significance in limiting the ground-based observation of satellites in earth orbit. As concerns about SDI arise, the observation of Soviet Satellites becomes more important, and this observation is limited by atmospheric turbulence.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 1987
Accession Number
ADA186073

Entities

People

  • B. R. Hunt

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Computational Science
  • Computer Simulations
  • Data Compression
  • Diffraction
  • Digital Images
  • Distortion
  • Engineering
  • Image Processing
  • Information Processing
  • Information Science
  • Information Theory
  • Probability
  • Random Variables
  • Simulations
  • Spearography

Fields of Study

  • Physics

Readers

  • Astronomy and Astrophysics.
  • Computational Fluid Dynamics (CFD)
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects