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:

[pavanreshma]

Can I find those ppts whichever you have been explained in that video presentation sir?

[aldoblack]

Hi. Where can I find the image resources?

[ritujangra]

sir if i use visual studio code....will these still run the same way with same syntax???

[kittooslittleworld]

sir i am following ur all tutorials...i am also working on spyder..but while executing this code this error is shown in console...
error: OpenCV(4.4.0) error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'

as i am doing other codes also...it is every time showing this type of error...pls tell me what to do....i dunt want to lose the track...pls help....

[aimanyounis]

Can we remove salt and pepper with bilateral? I know median is good, but does bilateral works?

[jaygopalsharma]

can you suggest book for image processing?

[yahyabelkarda]

Sir we wanna videos with code from scratch not with predefined function