SAR speckle reduction based on undecimated tree-structured wavelet transform

Ying Li, Jianglin Yang, Li Sun, Yanning Zhang

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

2 Scopus citations

Abstract

This paper proposes a novel filtering method for removing such speckle noise from Synthetic Aperture Radar image that combines the Stationary Tree-structured Wavelet Transform (STWT) with a Bayesian wavelet estimator. Experimental results on several test images by using the proposed method show that, the proposed method yields significantly superior image quality and better Peak Signal to Noise Ratio (PSNR).

Original languageEnglish
Title of host publicationAdvances in Natural Computation - Second International Conference, ICNC 2006, Proceedings
PublisherSpringer Verlag
Pages706-709
Number of pages4
ISBN (Print)3540459073, 9783540459071
DOIs
StatePublished - 2006
Event2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, China
Duration: 24 Sep 200628 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4222 LNCS - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Natural Computation, ICNC 2006
Country/TerritoryChina
CityXi'an
Period24/09/0628/09/06

Fingerprint

Dive into the research topics of 'SAR speckle reduction based on undecimated tree-structured wavelet transform'. Together they form a unique fingerprint.

Cite this