Interframe Image Processing with Application to Target Detection and Tracking.

Abstract

The restoration of images and the enhancement and detection of targets in cluttered background are the subjects of this research. The statistical approach is used in order to exploit temporal as well as spatial image redundancies. The images are modeled as a homogeneous random field. An autocorrelation function and a method of parameter identification are proposed. Experiments with several pictures are presented to validate the model. An analysis of two-dimensional recursive filters is presented. A three-dimensional recursive filter is developed which exploits the spatial as weell as the temporal image redundancies. A class of hybrid filters is proposed which improves the performance of the recursive filters. Several experiments with pictures are presented to show the ability of the hybrid filters in picture restoration.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA068545

Entities

People

  • Jose Leite Pereira Filho

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Science
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Estimators
  • Image Processing
  • Information Processing
  • Kalman Filters
  • Mathematical Filters
  • Recursive Filters
  • Statistical Algorithms
  • Target Detection
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

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