DocumentCode :
1454790
Title :
Improved bilateral filtering for SAR image despeckling
Author :
Zhang, Weifeng Gordon ; Zhang, Qi ; Yang, C.S.
Author_Institution :
Coll. of Geol. Eng. & Geomatics, Chang´an Univ., Xi´an, China
Volume :
47
Issue :
4
fYear :
2011
Firstpage :
286
Lastpage :
288
Abstract :
To effectively preserve edges of synthetic aperture radar (SAR) images while cleanly despeckling, an improved bilateral filtering algorithm (IBF) is proposed. A threshold value is first calculated, which is used to distinguish whether the current pixel and its neighbouring pixels are homogeneous or not. Then, bilateral filtering (BF) is improved by reducing its two parameters to one, which emphasises the contribution of adjacent homogeneous pixels to the approximation of the current pixel. Finally, IBF is applied to remove speckles. The despeckling results for SAR images show that the visual quality and evaluation indexes of IBF outperform those of enhanced Lee filtering (ELF) and BF.
Keywords :
filtering theory; image denoising; radar imaging; speckle; synthetic aperture radar; ELF; IBF; SAR image despeckling; SAR images; adjacent homogeneous pixels; enhanced Lee filtering; evaluation indexes; improved bilateral filtering algorithm; neighbouring pixels; remove speckles; synthetic aperture radar images; threshold value; visual quality;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2010.2982
Filename :
5716817
Link To Document :
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