Add Outlier Remover to CIL processors

[RasmiaKulan]

Description

• Add Mantid Imaging's Remove Outliers pre-processing operation to CIL's Processors class.
• Create a Jupyter notebook to test the process on a dataset.

What is Outlier Removal?
It removes pixel values identified as outliers based on configurable parameters. It compares each pixel to the local median and identifies those beyond the threshold.

Key Parameters:

• diff - Pixel value difference threshold used to detect outliers. It is adjusted depending on the values in your data and how aggressive you want the filter to be.
• radius - Size of the median filter applied
• mode - Type of outliers to remove:�Bright or Dark (OUTLIERS_BRIGHT, OUTLIERS_DARK)

When is it used?
As a pre-processing step to reduce very bright or dead pixels in the data.

Environment

import cil, sys
print(cil.version.version, cil.version.commit_hash, sys.version, sys.platform)