Parameter Estimation for the Blind Restoration of Blurred Imagery.

Abstract

Methods to estimate the optical transfer function (OTF) of the degradation and the noise-to-signal ratio in a degraded image are presented which use no prior information about the degradation and the noise. Two types of degradations are considered: uniform linear camera motion and out-of-focus camera with circular aperture. The OTF of the out-of-focus camera is estimated by inspection of the spectra of the degraded image and from average over the spectra of subsections of the degraded image. A line estimation method is described to estimate the degrading OTF of the linear camera motion in one direction. An additional method called the logarithmic estimate is also developed. Frequency and space domain estimation methods are developed for the noise-to-signal ratio for the case of additive gaussian noise. Inverse, Wiener, and power spectrum equalization filters based on these estimates are implemented on a digital computer to restore a variety of degraded images and examples of blind restoration of these degraded images are presented. (Thesis).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA177602

Entities

People

  • Murat Cincioglu

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Graphics
  • Computers
  • Digital Images
  • Discrete Fourier Transforms
  • Electrical Engineering
  • Frequency Domain
  • Image Processing
  • Image Restoration
  • Linear Systems
  • Photographic Film
  • Power Spectra
  • Random Variables
  • Signal Processing
  • Stationary Processes
  • Stochastic Processes
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects