基于复对称Daubechies小波分析的SAR图像去噪

在分析了SAR图像斑点噪声模型的基础上，利用具有对称性、正交性和紧支撑的复对称Daubechies小波，对SAR图像进行了分解。将图像分解后的高频部分的振幅进行软阈值去噪，并将试验结果与实数小波去噪结果相比较。结果表明该方法既能有效地去除噪声，又能保持图像的大量原始信息。

Speckle Noise Reduction of SAR Images with Complex Symmetric Daubechies Wavelets

The speckle noise of SAR image must be reduced to preserve the original information before the SAR image is widely used in some realm. With the symmetric Daubechies wavelets being symmetric, compact support and orthogonality of the translates, a complex symmetric Daubechies wavelets based noise reduction method is presented based on the model of speckle of SAR. In this approach the amplitude of the wavelet coefficients is set on a soft threshold alone. A comparson is made between the result obtained by using real wavelets and the experiment result, which shows the method is computional efficient and can significantly reduce the speckle while preserving the original image and yield good result on processing the SAR image.