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Marco Dalla Vecchia
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fixed typo and improved phrasing on lesson section about blurring animation
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episodes/06-blurring.md

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@@ -247,7 +247,7 @@ in [the scikit-image documentation](https://scikit-image.org/docs/dev/user_guide
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Let's take a very simple grayscale image to see blurring in action. The animation below shows how the blur kernel (large red square) moves along the image on the left in order to calculate the corresponding values for the blurred image (yellow central square) on the right. In this simple case the image is composed of only a single channel, but it would work as well on a multi-channel image.
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Let's consider a very simple image to see blurring in action. The animation below shows how the blur kernel (large red square) moves along the image on the left in order to calculate the corresponding values for the blurred image (yellow central square) on the right. In this simple case, the original image is single-channel, but blurring would work likewise on a multi-channel image.
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![](fig/blur-demo.gif){alt='Blur demo animation'}
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episodes/fig/source/06-blurring/create_blur_animation.py

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#
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# The script can be executed with
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# $ python create_blur_animation.py
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# The output animation will be saved directly in the fig folder where the less markdown will pick it up
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# The output animation will be saved directly in the fig folder where the markdown lesson file will pick it up
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###
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### POTENTIAL IMPROVEMENTS

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