Tutorial 32 - Image filtering in python - Gaussian denoising for noise reduction

Опубликовано: 25 Май 2020
на канале: ZEISS arivis
28,790
442

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...


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