The blur and speckle noise of the medical ultrasound image significantly 
reduces the diagnostic value of the images. They are caused by the 
representation of the true acoustic tissue reflectance. Many approaches 
have been proposed to solve this problem. One of them is the 2-D 
deconvolution. 

Deconvolution is used to restore the original image from the spacial 
response and the additive noise. Because of the limited bandwidth of 
the spacial response and the additive noise, perfect deconvolution is 
impossible. In stead, statistical restoration is used to remove the effect 
of the degradation by estimating the true reflectance image, such as 
commonly used Wiener filtering. 

Recent research shows that a number of choices other than Wiener filter 
gives better image quality.