You are here: Rasters > RasterConvolver


Accepts input features containing a raster geometry and outputs the features after applying a convolution filter to all the bands.

Convolution filters are applied using a kernel, specified by a matrix of weights for the neighboring values, over all the cells of an input raster geometry. Such filtering is used for smoothing, sharpening, enhancing edges and other raster image manipulation operations.

Input Ports

Output Ports



Kernel Options


Edge and Nodata Handling

Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Transformer Categories


FME Licensing Level

FME Professional edition and above


Search FME Knowledge Center

Search for samples and information about this transformer on the FME Knowledge Center.