A-law/Mu-law Dynamic Range Compression Deconvolution (Preprint)

Abstract

In this paper the A-law/Mu-law Dynamic Range Compression algorithm used in telecommunication systems is proposed for the first time for nonlinear Dynamic Range Compression image restoration of blurred signals embedded in very high noise environment. Our simulation results demonstrate that the dynamic range compression image deconvolution via the A-law/Mu-law outperforms image restoration based on the well-established image restoration filters that have been used for the last fifty years such as Wiener filter and Inverse filter. The deconvolution orders have been analyzed using the nonlinear transform method.

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Document Details

Document Type
Technical Report
Publication Date
Feb 04, 2008
Accession Number
ADA486862

Entities

People

  • Bahareh Haji-saeed
  • Charles L. Woods
  • Jed Khoury
  • John Kierstead
  • William D. Goodhue

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Optics
  • Air Force Research Laboratories
  • Atmospheric Motion
  • Communication Systems
  • Compression
  • Computer Programs
  • Data Compression
  • Distortion
  • Dynamic Range
  • Environment
  • Filtration
  • Image Processing
  • Image Restoration
  • Noise Reduction
  • Power Spectra
  • Simulations
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Computational Fluid Dynamics (CFD)
  • Image Processing and Computer Vision.