Gradient Anisotropic Diffusion

This filter performs anisotropic diffusion on a data layer and an additional edge enhancing step.

Detailed Description

The Gradient Anisotropic Diffusion performs anisotropic diffusion on a data layer and uses an additional edge enhancing step to preserve useful features. Anisotropic diffusion filtering is used to reduce noise (or unwanted detail) in images while preserving specific image features, such as edges and is based on the work of Pietro Perona and Jalhandra Malik, [PM90]. The output of this filter is a smoothed data layer.

The parameters for this filter are Iterations and Sensitivity Range. The Iterations parameter will control how many iterations of the filter will be executed. The more iterations, the smoother the image. The sensitivity range parameter controls the ‘diffusion’ of the objects in the image, therefore the higher the sensitivity, the more ‘diffusion’ and thus more smoothing.