Title :
Speckle suppression of SAR image based on curvelet and dual tree complex wavelet transform
Author :
Nandhini, G. ; Saraswathy, C.
Author_Institution :
K.S. Rangasamy Coll. of Technol., Tiruchengode, India
Abstract :
In this paper, a detailed description and comparision of speckle reduction of Synthetic Aperture Radar (SAR) image using transform is presented. The despeckling method is to reduce the speckle noise in SAR images, provided that the structural features and edges are not lost using Maximum a Posteriori (MAP) estimator based on wavelet and curvelet transform. These transforms are applied to noisy SAR image and respective despeckled images are obtained. Finally these two methods are compared and the performance are verified by quality metric analysis.
Keywords :
curvelet transforms; image denoising; maximum likelihood estimation; radar imaging; speckle; synthetic aperture radar; wavelet transforms; MAP estimator; SAR image; curvelet transform; despeckling method; dual tree complex wavelet transform; maximum a posteriori estimator; noisy SAR image; quality metric analysis; speckle noise reduction; speckle suppression; synthetic aperture radar; Discrete wavelet transforms; Noise; Noise measurement; Speckle; Synthetic aperture radar; Curvelet; Speckle; Synthetic Aperture Radar (SAR) image; Transform; Wavelet;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508370
