Median Filter Noise Improvement of Digital Imagery

Abstract

Designs for fire control automatic target recognition systems require poise-free or low-noise digital imagery of visible and infrared targets. Median filter noise cleaning of digital imagery was investigated to determine the extent to which different size median filter windows will improve the signal-to- noise ratio of a digital image with the least deterioration or degradation to the shape or position of the edges of a target. Examples of median filtering and adaptive window filtering (AWMF) are presented before and after noise cleaning, and an improvement over AWMF is proposed to remedy its display deficiencies. Recommendations are offered on how to proceed to obtain more meaningful results and how to extend the simulation to two dimensions before performing test on actual digital imagery data.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA101303

Entities

People

  • Gary Sivak

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Graphics
  • Computers
  • Data Sets
  • Digital Images
  • Gaussian Distributions
  • Gaussian Noise
  • Image Processing
  • Low Noise
  • Measurement
  • Recognition
  • Signal Processing
  • Simulations
  • Square Waves
  • Standards
  • Target Recognition
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Information Retrieval
  • Radio communications and signal processing.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.