Table 1.

Optimal filtering parameters for comparing techniques. S is the radius of search window and N is the radius of the patch, h is the smoothing parameter and $\sigma$ is the standard deviation of Gaussian distribution

Comparing Techniques	Filtering Parameters
ONLM	$S=5$, $h=\sigma$, $N=2$
AONLM	$S=3$, $N1=2$, $N2=2$, $h=\sqrt{2\beta {\sigma }^2|V|}$ where $\beta$ is a constant and |V| is the number of voxels
PRINLM	$S=5$, $N=2$, h = 0.4$\sigma$
MRNLM	$S=11$, h = $\sigma$, $N=2$
UKR	Radius of the second order regression = 4