Image speckle reduction and coherence enhancement in underwater ultrasonic imaging based on wavelet transform

Yan Xiaopeng*, Li Ping, Li Yueqin, Xu Fengkai

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

In order to reduce the underwater ultrasonic image speckles and to enhance the image characteristics, an anisotropic diffusion model is established based on the wavelet transform in this paper. At the same time, it also provides the steps of the algorithmic architecture and analyzes the key links of the model during its application. Two-check experiments have been done using simulation data and real underwater ultrasonic image respectively. In experiment a compare research for underwater ultrasonic image has been done using the method and other traditional methods. After performing the WLAD-model-based image speckle reduction and coherence enhancement to the underwater ultrasonic image, we find that this algorithm has the ability to remove the image speckles and enhance the edges. This algorithm can well be applied to removing the speckles and enhancing the edges in the underwater ultrasonic image.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
Pages145-148
Number of pages4
DOIs
Publication statusPublished - 2008
EventInternational Conference on Computer Science and Software Engineering, CSSE 2008 - Wuhan, Hubei, China
Duration: 12 Dec 200814 Dec 2008

Publication series

NameProceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
Volume6

Conference

ConferenceInternational Conference on Computer Science and Software Engineering, CSSE 2008
Country/TerritoryChina
CityWuhan, Hubei
Period12/12/0814/12/08

Keywords

  • Anisotropic diffusion model
  • Image enhancement
  • Speckle reduction
  • Underwater ultrasonic imaging
  • Wavelet transform

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