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BUILT-IN MATHEMATICA SYMBOL

BilateralFilter

applies a bilateral filter of spatial spread

and pixel value spread

to image.

BilateralFilter replaces each pixel by a weighted average of its neighbors, using normalized Gaussian matrices as weights.

When applied to multichannel images, BilateralFilter computes the Euclidean distance between channel vectors.

For large values of , bilateral filtering yields results similar to Gaussian filtering.

By setting the option MaxIterations->n, up to n iterations of bilateral filtering are performed.

Smooth details in a color image:

Out[1]=

Bilateral filtering smooths an image while preserving edges:

Create a posterization effect by performing multiple iterations:

Removing noise:

Bilateral filtering with a large color spread value, used for background removal:

Bilateral filtering as a preprocessing step for image segmentation:

Unsharp masking using bilateral filtering: