Function Index
	BlockOutlier BlockOutlier[img, {n1, n2}] is a nonlinear noise reduction operator. BlockOutlier[img, {n1, n2}, t] uses a custom threshold value t. BlockOutlier conditionally replaces each image pixel with a center-deleted average of its neighborhood of dimensions {n1, n2}:      where is the center-deleted mean of the neighborhood of f(r,c) and t is a threshold. The default threshold value is t 0.1 , where is the standard deviation of the center-deleted neighborhood. This shows the geometry of a 3 × 3 neighborhood centered on f(r,c):      The argument img may be a vector, matrix, or ImageData expression. See also User's Guide 5.5. Modified in Version 2. Example This loads the package. In[1]:= This generates a data array with uniformly distributed additive noise. In[2]:= Here is the noisy data. In[3]:= This demonstrates noise suppression using BlockOutlier with 3 × 3 neighborhoods. In[4]:= In[5]:=