Noise Reduction in Support-Constrained Multi-Frame Blind-Deconvolution Restoration as a Function of the Number of Data Frames and the Support Constraint Sizes

Abstract

We show that the amount of relative noise reduction in multi-frame blind deconvolution image restorations is greatest for just a few data frames and is a more complicated function of the support constraint sizes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA489530

Entities

People

  • Alim Haji
  • Charles L. Matson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Optics
  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Algorithms
  • Department Of Defense
  • Directed Energy Weapons
  • Image Reconstruction
  • Image Restoration
  • Imaging Techniques
  • Military Research
  • Noise
  • Noise Reduction
  • Probability Density Functions
  • Random Variables
  • Stochastic Processes

Readers

  • Image Processing and Computer Vision.