Photon Limited Images and Their Restoration

Abstract

The prime practical limitation encountered in attempts to restore degraded imagery arises from noise inherent in the detected image data. In the first part of this report a model is developed which can be used to mathematically and statistically describe an image detected at low light levels. This model serves to clarify some basic properties of photon noise, and provides a basis for the analysis of image restoration. In the second part the problem of linear least-square restoration of imagery limited by photon noise is considered. The form of the invariant least-square restoration filter is derived using the statistical model appropriate for photon noise.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1976
Accession Number
ADA024027

Entities

People

  • J. F. Belsher
  • J. W. Goodman

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Diffraction
  • Electronics Laboratories
  • Far Field
  • Filters
  • Frequency
  • Image Restoration
  • Intensity
  • Linear Filtering
  • Low Light Levels
  • Near Field
  • Random Variables
  • Spectra
  • Statistics
  • Transfer Functions
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Approximation Theory.
  • Computer Vision.
  • Theoretical Analysis.