Survey of Image Restoration Techniques

Abstract

This survey of image restoration techniques presents a concise overview of the most useful restoration methods. Linear spatially invariant and linear spatially variant image restoration techniques are described and the strengths and weaknesses of each approach are identified. Examples of restored images for the various techniques are given. To provide guidelines for choosing a restoration technique for a particular application, a comparison of the techniques is made. The restoration methods are compared and evaluated based on the following circuit: restored image visual quality, performance in the presence of additive image-independent noise, degree of a priori knowledge required, and computational complexity.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA197470

Entities

People

  • P. K. Murphy

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computational Science
  • Digital Images
  • Filters
  • Filtration
  • Image Processing
  • Image Restoration
  • Jet Propulsion
  • Markov Processes
  • Mathematical Filters
  • Measurement
  • Physics
  • Physics Laboratories
  • Signal Processing
  • Stochastic Processes
  • Two Dimensional

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Instructional Design and Training Evaluation.