SAR Image Denoising via Bivariate Shrinkage Function and Enhancement of Wavelet Coefficients
Zhiguo Chen · Journal of Henan University · 2009
Combining bivariate shrinkage function with enhancement of wavelet significant coefficients,a novel method is proposed for removing noise from images with speckle,which allows us to consider the particularity of the model for speckle noise.In our paper we make the speckle noise model suit the bivariate shrinkage function,and the joint probability density functions(PDF) and noisePDF could be united by MAP to de-noise image,then the wavelet coefficients are enhanced according to a rule whether the coefficient is a significant one or not.The simulation demonstrates that the new algorithm has a better denoised effect compared with other traditional denoising methods.