基于Curvelet和Wavelet相结合的SAR图像抑噪方法研究

Wavelet transform has the good characteristic of time-frequency locality and many researchs show that it can perform well for denoising in smooth and non-edge areas. But it is not suitable for describing the edges, which have high dimensional singularities. And curvelet is one of new multiscale transform theories, which possess directionality and anisotropy, and it breaks some inherent limitations of wavelet in representing directions of edges in image. So it has superiority in some image analysis, such as image denoising. This paper proposes an improved method for SAR image despeckling, which combined curvelet transform and wavelet transform. The experiment indicates that this combined method has better performance.