Title :
SAR Image Speckle Removal using Bamberger Pyramids
Author :
Rosiles, J.G. ; Smith, M.J.T. ; Mersereau, R.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA
Abstract :
We present the application of Bambeger pyramids to the removal of speckle noise from SAR images using subband domain shrinking. Bamberger pyramids provide better directional selectivity than the commonly used 2D UDWT allowing better representation of edges and geometrical structures. We show that Bamberger pyramids provide superior speckle removal and edge retention properties when compared to the 2D UDWT, and the commonly used Lee MMSE filter.
Keywords :
image denoising; image representation; radar imaging; synthetic aperture radar; Bamberger pyramids; SAR imaging; directional selectivity; edge representation; speckle noise removal; subband domain shrinking; Adaptive filters; Crops; Discrete wavelet transforms; Filter bank; Filtering; Image edge detection; Image texture analysis; Noise reduction; Speckle; Wavelet coefficients; Bamberger pyramids; SAR speckle removal; directional filter bank; wavelets;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312896
