Statistical Image Modeling.

Abstract

A digital image is processed largely on how it is modeled. Image models are useful in image coding, compression, interpretation, classification, texture characterization as well as enhancement and restoration. Both statistical and structural models of images have been considered as the images contain both statistical and structural information. In most practical applications especially in the defense area, the statistical information is most important. This report deals with the fundamental theoretical topics in statistical image modeling. An extensive list of references is provided to cover many publications in this important area.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 1979
Accession Number
ADA082169

Entities

People

  • Chia‐Hung Chen

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Computer Vision
  • Data Science
  • Digital Images
  • Image Processing
  • Image Segmentation
  • Information Processing
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Probability
  • Signal Processing
  • Statistical Algorithms
  • Statistics
  • Two Dimensional

Readers

  • Computer Vision.
  • Systems Analysis and Design