Speckle Noise Reduction of SAR Images with Complex Symmetric Daubechies Wavelets
Zai Wang, Pla Uni · Journal of PLA University of Science and Technology · 2002
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.