May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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Image smoothing
In image smoothing, the high-frequency noise from an image is removed by applying low-pass filters, such as the following:
- A mean filter
- A median filter
- A Gaussian filter
This blurs the image and is performed by applying a pixel whose end values do not change sign and do not differ in value appreciably.
Image filtering is typically done by sliding a box filter over an image. A box filter is represented by an 
kernel divided by (n*m), where n is the number of rows and m is the number of columns. For a 3 x 3 kernel this looks as follows:
Let's say this kernel is applied to the RGB image described previously. For reference, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.