Adaptive Kalman Type Estimation Applied to Image Processing.

Abstract

Because of the stochastic and nonstationary nature of image processes, an adaptive estimation algorithm is proposed and evaluated for on-line filtering of an image scanned in a raster pattern. This algorithm combines a least squares parameter identification procedure with a two-dimensional reduced update Kalman filter. Results using an image with a 3 dB signal to noise ratio indicate that this adaptive algorithm is very effective for image restoration. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 1978
Accession Number
ADA055827

Entities

People

  • A. Radpour
  • H. Kaufman
  • J. Woods
  • Vinay K. Ingle

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Coefficients
  • Computations
  • Computers
  • Digital Computers
  • Estimators
  • Filters
  • Filtration
  • Image Processing
  • Image Restoration
  • Kalman Filtering
  • Kalman Filters
  • New York
  • Noise
  • Systems Engineering
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.