ess.imaging.tools.analysis.resize#

ess.imaging.tools.analysis.resize(image, sizes, method='sum')[source]#

Resize an image by folding it into blocks of specified sizes and applying a reduction method. The sizes should be provided as a dictionary where the keys are dimension names and the values are the sizes of the blocks. The shape of the input image must be divisible by the block sizes.

Parameters:

  • image (Variable | DataArray) – The image to resample.

  • sizes (dict[str, int]) – A dictionary specifying the desired size of the output image for each dimension. The original sizes should be divisible by the specified sizes. For example, {'x': 128, 'y': 128} will create an output image of size 128x128.

  • method (str | Callable, default: 'sum') – The reduction method to apply to the blocks. This can be a string referring to any valid Scipp reduction method, such as ‘sum’, ‘mean’, ‘max’, etc. Alternatively, a custom reduction function can be provided. The function signature should accept a scipp.Variable or scipp.DataArray as first argument and a set of dimensions to reduce over as second argument. The function should return a scipp.Variable or scipp.DataArray.

Return type:

Variable | DataArray