A SAR image despeckling method based on dual tree complex wavelet transform

Authors:
Xi-li Wang;Li-cheng Jiao
Affiliations:
School of Computer Science, Shannxi Normal University, Xi'an, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

Based on the dual tree complex wavelet transform and edge detection, a SAR image despeckling algorithm is proposed. It can be used to remove white Gauss additive noise (WGAN) too. The DT-CWT has the properties of shift invariance and more directions. Edges are effectively extracted based on this complex transform and adjacent scales coefficients multiplication. According to the statistical property of the edge and non edge wavelet coefficients, Laplacian and Gaussian distribution are used to describe them respectively. Bayesian MAP estimator is used to estimate the noiseless wavelet coefficient values. Analysis and experiments illustrate the effectiveness of the proposed algorithm.