MeanFilter[image, r] filters image by replacing every value by the mean value in its range-r neighborhood. MeanFilter[data, r] applies mean filtering to an array of data.

Mathematica not only includes highly optimized implementations of standard image restoration filters, but also provides sophisticated functions and algorithms allowing ...

GeometricMeanFilter[image, r] filters image by replacing every value by the geometric mean of the values in its range-r neighborhood. GeometricMeanFilter[data, r] applies ...

HarmonicMeanFilter[image, r] filters image by replacing every value by the harmonic mean of the values in its range-r neighborhood. HarmonicMeanFilter[data, r] applies ...

KuwaharaFilter[image, r] computes for each pixel p in image the variance of the values in the four (r + 1)*(r + 1) squares that have p as a corner, and replaces p with the ...

Mathematica's highly optimized filtering capabilities provide a wide range of linear and modern nonlinear local filters, as well as a variety of nonlocal filters, which can ...

MaxFilter[image, r] filters image by replacing every value by the maximum in its range-r neighborhood. MaxFilter[data, r] applies max filtering to an array of data.

MedianFilter[image, r] filters image by replacing every value by the median in its range-r neighborhood. MedianFilter[data, r] applies median filtering to an array of data.

MinFilter[image, r] filters image by replacing every value by the minimum in its range-r neighborhood. MinFilter[data, r] applies min filtering to an array of data.

NonlocalMeansFilter[image, r] applies a nonlocal means filter to image by comparing a range r neighborhood to its nearby neighborhoods. NonlocalMeansFilter[image, r, ns] ...