A Comparison of Noise Cleaning Techniques

Abstract

A variety of noise cleaning techniques are compared on two test pictures. All of the techniques tested are based on local analysis of a small neighborhood of each pixel. They include median and mode filtering; selective local averaging or weighted averaging schemes of various sorts; and Kalman filtering. Iterated weighted averaging and iterated median filtering were judged to give the best overall performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA074854

Entities

People

  • Judith P. Davenport

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Coefficients
  • Computations
  • Computer Science
  • Computers
  • Data Science
  • Filtration
  • Flying Spot Scanners
  • Gaussian Noise
  • Information Science
  • Information Theory
  • Iterations
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Noise
  • R-Banding

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Psychometric Testing or Psychological Assessment.