Function Index
	BlockTrimmedMean BlockTrimmedMean[img, {n1, n2}] is a nonlinear noise reduction operator. BlockTrimmedMean[img, {n1, n2}, k] uses value k to trim each list of samples. BlockTrimmedMean replaces each pixel in img with a trimmed mean of the local centered neighborhood of size {n1,n2}. A trimmed mean is the average of remaining samples, after k samples are removed from both ends of a sorted list. The default value of k is k=1. 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 BlockTrimmedMean using 3 × 3 pixel neighborhoods. In[4]:= In[5]:=