Tutorial 33 - Image filtering in python - Median filter for denoising images
In microscopy, noise arises from many sources including electronic components such as detectors and sensors. 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 why Median denoising filter is better at removing salt and pepper noise. It also 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...