Speckle noise filtering for restoration of coherent shear beam images

M. Wilson, S. Mitra, T. Krile

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Shear beam imaging is a coherent reflective imaging technique, which inherently contains signal-dependent speckle noise with characteristic glints. The removal of the speckle using a minimal number of frames while preserving the glints is the major concern of this paper. In the past, several methods have been used to eliminate this noise. The complexity of the algorithms ranged from a simple nonlinear median filter to complex linear and nonlinear models. Here, fast morphological and wavelet filters are proposed and are shown to remove speckle better than the previous methods. The morphological filters are nonlinear in nature and computationally efficient, thus making them quite attractive. The glint is preserved by its segmentation from each frame prior to speckle removal. This paper describes the morphological, wavelet, and segmentation techniques used and discusses the current results.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE Southwest Symposium on Image Analysis and Interpretation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-170
Number of pages5
ISBN (Electronic)0769505953
DOIs
StatePublished - 2000
Event4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 - Austin, United States
Duration: Apr 2 2000Apr 4 2000

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2000-January

Conference

Conference4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000
CountryUnited States
CityAustin
Period04/2/0004/4/00

Keywords

  • Diffraction
  • Filtering
  • Image restoration
  • Image segmentation
  • Nonlinear filters
  • Phased arrays
  • Read only memory
  • Sensor arrays
  • Signal restoration
  • Speckle

Fingerprint Dive into the research topics of 'Speckle noise filtering for restoration of coherent shear beam images'. Together they form a unique fingerprint.

Cite this