Noise Removal on Radar Imagery Using Local Gradient and Statistics.

Abstract

This report shows that the noise-removal algorithm using local gradient and statistics is most favorable to filter a noisy radar image without constrast loss. This report includes the summary of this algorithm with a suggestion of a practical method of estimating a local noise variance. Various noise-removal algorithms are compared with this algorithm based on a visual examination of their filtering results on a set of radar images. The final results of noise removal of the images are displayed along with the originals in the last section. A set of twenty-eight SAR (Synthetic aperture radar) images, of size 512x512 pixels, for experimentation. Keywords: Image blurring; Multiplicative noise. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA164888

Entities

People

  • Jugwhan Kim
  • Robert M. Haralick

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Filters
  • Algorithms
  • Brightness
  • Computer Graphics
  • Contrast
  • Digital Images
  • Filters
  • Filtration
  • Image Processing
  • Images
  • Noise
  • North Carolina
  • Radar
  • Radar Images
  • Statistics
  • Synthetic Aperture Radar

Readers

  • Business Analytics
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.