This filter is a modification of the mean_filter, whereby the highest and lowest values in the kernel are dropped, and the remaining values are averaged to replace the central pixel. The result is a low-pass smoothing filter that is more robust than the mean_filter, which is more strongly impacted by the presence of outlier values. It is named after a system of scoring Olympic events.

Neighbourhood size, or filter size, is specified in the x and y dimensions using the `filterx` and `filtery` flags. These dimensions should be odd, positive integer values (e.g. 3, 5, 7, 9, etc.).

## See Also

mean_filter

## Function Signature

`def olympic_filter(self, raster: Raster, filter_size_x: int = 11, filter_size_y: int = 11) -> Raster: ...`

## Project Links

WbW Homepage User Manual Support WbW