SAR Image Filtering Based on Biorthogonal Wavelet Transform
Qiuyue Fan, Bokang Goup · Communications technology · 2010
In combination of biorthogonal wavelet transform with the such classical filtering methods, as E-Lee, E-Kuan, Gamma Map and wiener, a local statistical SAR image filtering based on biorthogonal wavelet transform is proposed. At the same time, a normalized logarithmic transform is suggested, which could reduce the computation complexity, and transform the multiplicative Speckle noise into additive noise. Then the local statistical SAR image filtering is established in wavelet domain by using multi-resolution means. Some characteristics of the image could be easily treated because the wavelet coefficients in each direction have the same characteristics, thus resulting in correspondingly little fuzzy edge of image. The experiments indicate that this method is better than the classical filtering methods.