Tutorial 34 - Image filtering in python - Bilateral 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 Bilateral filter and walks you through the process of writing a couple of lines of code in Python to implement the filter. Bilateral filter can be slow and it is not efficient at removing salt and pepper noise.
References:
https://people.csail.mit.edu/sparis/b...
cv2.cv2.bilateralFilter - https://opencv-python-tutroals.readth...
skimage bilateral - https://scikit-image.org/docs/dev/aut...
Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_fo...