Wavelet Thresholding Techniques in MRI Domain
Jiří Přinosil, Zdeněk Smékal, Karel Bartusek · 2010
This paper deals with MR image de-noising by using the wavelet analysis focusing on the wavelet thresholding techniques and the threshold estimation. Hard, soft, semi-soft and non-negative garrote thresholding techniques are described and applied to test images with two different threshold estimators; one uses the universal threshold and the second is derived from the Bayesian risk minimization. The results are compared according to three parameters: SNR, intensity contrast and intensity gradient.