Information Dynamics in Image Deconvolution

Abstract

This report consists of somewhat abridged versions of all previously submitted progress reports, placed here in individual sections, followed by a section on the progress made in the last 12-month performance period and on the promising future directions for our work. A broad understanding of all aspects of image formation, detection, and processing in information theoretic terms has been achieved in our studies under direct support of the Contract. Specifically, we have: (1) shown how prior knowledge about the object being imaged, particularly about the support of its intensity distribution, can be regarded as a gain of information; (2) computed the theoretical limit on information throughput, i.e., the channel capacity of an astronomical imaging system; (3) computed theoretically and in simulation the detailed characteristics of the dynamics of noise versus information in imaging under turbulence when support information is employed as a post processing tool; and (4) gained a preliminary understanding of the inverse relation between noise and information.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA390958

Entities

People

  • Sudhakar Prasad

Organizations

  • University of New Mexico

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Atmospheric Motion
  • Data Science
  • Detection
  • Dynamics
  • Estimators
  • Information Processing
  • Information Science
  • Intensity
  • Noise Reduction
  • Power Spectra
  • Probability
  • Probability Distributions
  • Simulations
  • Statistical Algorithms
  • Statistics
  • Turbulence

Readers

  • Business Analytics
  • Image Processing and Computer Vision.
  • Theoretical Analysis.