Noise is an unfortunate result of data acquisition and it comes in many forms and from many sources. For scientific images (e.g. microscope, MRI, and EBSD),Gaussian noise arises from electronic components including detectors and sensors. In addition, salt & pepper noise may also show up from analog to digital conversion errors. Therefore, image denoising is one of the primary preprocessing operations that a researcher performs before proceeding with extracting information out of these images.

This tutorial explains the basics of bilateral filter and its use in Python.

The code from this video is available at: https://github.com/bnsreenu/python_for_microscopists

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