Title :
SAR image filtering using wavelet transform
Author :
Giusto, Daniele D. ; Böröczky, Lilla ; Fioravanti, Roberto ; Fioravanti, Stefano
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Abstract :
This paper presents a novel multiresolution wavelet-based algorithm for filtering SAR images in order to remove speckle noise. The basic idea is to apply to the wavelet coefficients a size-decreasing half-interpolated median filter. The size of the median filter is adapted to the noise energy reduction between the image pyramid levels and different filter shapes are used in each wavelet subbands according to the dominant frequencies. Experimental results showed, that the proposed algorithm results in significant noise removal while the edges are preserved in the images
Keywords :
filtering theory; image reconstruction; image resolution; interpolation; median filters; noise; radar imaging; speckle; synthetic aperture radar; wavelet transforms; SAR image filtering; dominant frequencies; experimental results; filter shapes; image edges preservation; image pyramid levels; image reconstruction; multiresolution wavelet-based algorithm; noise energy reduction; size-decreasing half-interpolated median filter; speckle noise removal; wavelet coefficients; wavelet subbands; wavelet transform; Energy resolution; Filtering algorithms; Filters; Image resolution; Multi-stage noise shaping; Noise level; Noise reduction; Speckle; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479901
