Improved Noise Suppression for Multiband Imagery.

Abstract

This research has developed and tested an approach to improvement of noise degraded multiband imagery based on a class dependent Karhunen-Loeve (K-L) transformation and transform domain spatial filtering. The technique is attractive because of its tendency to preserve the high spatial frequency information (e.g., edges) in the picture as compared with conventional minimum mean square error linear filtering of the original bands. Multiband images (especially color and multispectral characteristically exhibit significant class structure, and within a particular class show high spectral correlations. The filtering technique developed during this research exploits both the class structure and the intraclass correlation to achieve noise suppression. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1980
Accession Number
ADA091815

Entities

People

  • B. J. Gaitley
  • D A Anderson
  • P. J. Ready

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Covariance
  • Data Science
  • Equations
  • Filters
  • Filtration
  • Image Processing
  • Images
  • Integral Equations
  • Linear Filtering
  • Mathematical Filters
  • Noise
  • Spatial Filtering
  • Three Dimensional
  • Two Dimensional

Readers

  • Image Processing and Computer Vision.
  • Psychometric Testing or Psychological Assessment.