An Iterative Method for Restoring Noisy Blurred Images.

Abstract

This paper introduces a new iterative image restoration method which is capable of restoring noisy, blurred images by incorporating a priori knowledge about the image and noise statistics into the iterative procedure. The iteration equation consists of a prediction part which is based on a noncausal image model description and an innovation part which is weighted by a gain factor. The gain is computed using a linear MSE optimization procedure and is updated at each step of the iteration. This image restoration scheme can be interpreted as an iterative procedure with a statistical constraint on the image data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA142201

Entities

People

  • A. K. Katsaggelos
  • J. Biemond
  • R. M. Mersereau
  • R. W. Schafer

Organizations

  • Georgia Tech

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Differential Equations
  • Electrical Engineering
  • Engineering
  • Equations
  • Filters
  • Frequency Response
  • Identification
  • Image Restoration
  • Netherlands
  • Noise
  • Partial Differential Equations
  • Schools
  • Security
  • Signal Processing
  • Statistics
  • Two Dimensional

Readers

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