DocumentCode :
3398780
Title :
Collaborative filtering technique for SAR image speckle noise suppression
Author :
Gromek, Artur ; Castaldo, Luigi
Author_Institution :
Inst. of Electron. Syst., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2013
fDate :
5-7 June 2013
Firstpage :
1
Lastpage :
4
Abstract :
Collaborative filtering is a technique used for image restoration among noise and distortions. Based on the fact that an image content has a locally sparse representation in transform domain. Technique employs a non-local modeling of image by collecting similar 2D image patches into 3D groups. The so-called collaborative filtering applied on such a 3D groups is realized by transform domain shrinkage and Wiener filtration. In this work, we implement collaborative filtering algorithm and test it on Synthetic Aperture Radar (SAR) imagery. The experimental results will be presented.
Keywords :
Wiener filters; collaborative filtering; image representation; image restoration; radar imaging; synthetic aperture radar; 2D image patches; SAR image speckle noise suppression; Wiener filtration; collaborative filtering technique; image content; image restoration; sparse representation; synthetic aperture radar; transform domain; transform domain shrinkage; Collaboration; Filtering; Noise; Speckle; Synthetic aperture radar; Three-dimensional displays; Wiener filters; SAR; despeckling; non-local filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Symposium (SPS), 2013
Conference_Location :
Serock
Type :
conf
DOI :
10.1109/SPS.2013.6623570
Filename :
6623570
Link To Document :
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