Tutorial 32 - Image filtering in python - Gaussian denoising for noise reduction
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 Gaussian denoising filter and walks you through the process of writing a couple of lines of code in Python to implement the filter.
Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_fo...