Speckle Noise Removal Using Dual Tree Complex Wavelet Transform

Abstract Dual Tree Complex Wavelet Transform DTCWTis a form of discrete wavelet transform which generates complex coefficients by using a dual tree of wavelet filters to obtain their real and imaginary parts.In this paper the dual-tree complex wavelet transform DTCWT based despeckling algorithm is proposed for SAR images by considering the significant dependences of the wavelet coefficients across different scales. The DTCWT has the advantage of improved directional selectivity approximate shift invariance and perfect reconstruction over the discrete wavelet transform.The wavelet coefficients in eachsubband are modeled with a bivariate Cauchy probability density function PDF which takes into account the statistical dependence among the wavelet coefficients. The simulation results show that this method is faster and gives better performance when compared to the conventional discrete wavelet transform.