SNR Limits to Achieving the Cramer-Rao Lower Bounds with PCID

Abstract

We conducted this research to better understand how Cramer-Rao lower bounds can be used to understand the performance of multi-frame blind deconvolution algorithms such used to understand the performance of multi-frame blind deconvolution algorithms such as PCID. It was clear from previous results that we generated that the image-domain sample variances from PCID deviated from the CRBs significantly more than was expected given the signal-to-noise ratios of the data. It was our suspicion that the Fourier domain was a better place to carry out this investigation. It will be shown that this is true.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA520084

Entities

People

  • Chuck Matson
  • Mike Flanagan
  • Tony Vincent

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Algorithms
  • Department Of Defense
  • Directed Energy Weapons
  • Frequency
  • Gray Scale
  • Image Reconstruction
  • Information Operations
  • Intensity
  • Measurement
  • Military Research
  • Scientific Research
  • Spectra
  • Standards
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Statistical inference.
  • Theoretical Analysis.