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Speckle reduction for remote sensing images based on nonsubsampled contourlet

  • Xujing Guo*
  • , Zulin Wang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Existing speckle reduction methods for remote sensing images such as SAR cannot capture image edge detail information and reduce noise effectively at the same time. The nonsubsampled contourlet (NSCT) is built upon nonsubsampled pyramids and nonsubsampled directional filter banks and provides a shift-invariant directional multiresolution image representation. Therefore, a speckle reduction model based on NSCT is presented. Firstly original image with speckle noise was transformed into with additive noise by means of homomorphism transform, and then the NSCT was implemented, finally threshold denoising method was adopted to separate the noise and signal. A comparison between the above NSCT denoising method and conventional methods was carried out on remote sensing images contaminated by multiplicative noise and SAR original image. The experimental results show that the performance of the NSCT is superior not only in speckle reduction but also in edge preservation.

Original languageEnglish
Title of host publication2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Pages2927-2930
Number of pages4
DOIs
StatePublished - 2007
Event2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 - Shanghai, China
Duration: 21 Sep 200725 Sep 2007

Publication series

Name2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Conference

Conference2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Country/TerritoryChina
CityShanghai
Period21/09/0725/09/07

Keywords

  • Image denoising
  • Nonsubsampled contourlet
  • Remote sensing image
  • Speckle noise

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