Introduction to Fourier Transforms and Quantitative image Processing

[Benjamin Smith]

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Hey Microscopists,

For those looking for a beginner level introduction to Fourier transforms
and quantitative image processing, here is a talk I gave this year at the
Advanced Imaging Methods Workshop:
https://www.youtube.com/watch?v=Gsi8Cfy_3Po

It starts with an introduction to 2D Fourier Transform power spectrums and
how to interpret them, then goes into filters and what each filter does to
the information content of the image.  I then go through real-world
examples of how you can use just median filters, Gaussian blurs, and image
calculator to denoise images and movies that appear at first glance to have
an intractable background.

I then cover the basic math underlying deconvolutions, how perfect
deconvolutions are theoretically possible, and then why real-world
deconvolutions are inherently imperfect.  And finish with using
custom kernels to enhance image contrast (specifically showing the emboss
kernel).

Unfortunately, this was a talk given virtually, and the platform was having
a pretty significant video lag.  That said, you can follow along with the
talk yourself, go through the macro demo, and get all the example images
covered in the talk here: http://bit.ly/3cYm4Z6

Cheers,
   Ben Smith

--
Benjamin E. Smith, Ph. D.
Imaging Specialist, Vision Science
University of California, Berkeley
195 Weill Hall
Berkeley, CA  94720-3200
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