SAR Image Denoising Based on Combined Curvelet and Wavelet
Luo Dai-sheng · Journal of Sichuan University · 2012
A novel combination of Curvelet and Wavelet algorithm for SAR image speckle noise reduction was presented.Smooth areas and edges of SAR images were distinguished and labeled by 16 direction detection template.Smooth areas and edges were processed using improved soft threshold curvelet and wavelet transform method,respectively.Finally,a complete noise reduction image was enerated by the combination of two noise reduction result.Comparison with existing combination methods(CFA,ACM) showed that the new combination method has some improvement in various indicators,such as PM,ENL,etc.Experimental results showed that the approach can not only effectively remove speckle noise,but also can better maintain the image edge information.