Noise Suppression in Large Wavenumber Fourier Imaging.

Abstract

For the band-limited inverse problem, the inversion formulas developed by Bleistein et al., generate a reflector map as well as an estimate of reflection coefficients from the discontinuities of the medium parameters. Here, we describe the use of a multiscale smoothing operator to suppress the noise while preserving the features of the original processing formula. This is accomplished by applying a simple multiplier in wavenumber domain to the output of the inversion formalism. A comparison of this approach to wavelet based edge detection processing shows that this continuous multiscale operator allows more flexibility for changing the length of the smoothing operator.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1997
Accession Number
ADA327904

Entities

People

  • Lan Wang
  • Norm Bleistein

Organizations

  • Colorado School of Mines

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundaries
  • Change Detection
  • Colorado
  • Delta Functions
  • Detection
  • Discontinuities
  • Earth Models
  • Filters
  • Filtration
  • Inverse Problems
  • Models
  • Noise
  • Reflectors
  • Step Functions
  • Stratified Fluids
  • Two Dimensional
  • Wave Phenomena

Readers

  • Approximation Theory.
  • Radar Systems Engineering.
  • Wave Propagation and Nonlinear Chaotic Dynamics.