Tutorial 35 - Image filtering in python - Non-local means (NLM) filter for image denoising

In microscopy, Gaussian noise arises from many sources including electronic components such as detectors and sensors. In addition, salt & pepper noise may also show up due to errors in analog to digital conversion. Therefore, image denoising is one of the primary pre-processing operations that a researcher performs before proceeding with extracting information out of these images. This tutorial explains the non-local means (NLM) filter and walks you through the process of writing a couple of lines of code in Python to implement the filter. NLM filter is especially recommended to denoise CT, uCT, and MRI images. References: https://scikit-image.org/docs/dev/auto_examples/filters/plot_nonlocal_means.html https://www.iro.umontreal.ca/~mignotte/IFT6150/Articles/Buades-NonLocal.pdf Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_for_image_processing_APEER