Image Compression and the FFT (Examples in Python)
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- čas přidán 19. 05. 2024
- This video shows how to compress images with the FFT (code in Python).
Book Website: databookuw.com
Book PDF: databookuw.com/databook.pdf
These lectures follow Chapter 3 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
Amazon: www.amazon.com/Data-Driven-Sc...
Brunton Website: eigensteve.com - Věda a technologie
Happy to see the videos on FFT back and running. Another great one!
Took me two videos to subscribe. The quality and content of your material incredible. I really enjoy understanding how the magic happens and you make a hell of a job. Cheers!
I have zero engineering background, but find the entire series super clear and intuitive. Really enjoy this. Thanks!
Genius
This video summed up my 2008 hackathon concept. I had no idea I was inspired by people who had come up with this already or were already talking about it.
I like the explanations, keep up the great work!
Thanks!
Thanks. As a mathematician who is always looking for interesting applications of mathematics, this was really an interesting demonstration.
really like this explanations
The last part made me realise why applying a high-pass filter reveals the edges on an image : the edges are the high frequency content because the color changes very quickly in the span of a few pixels.
This video is really awesome but I am wondering if this method if we implement on the 3 color channel to keep the image colored
1:45
It needs to be 255 instead of 256. Color ranges from 0-255
Cheers
That is awesome!
Wonderful!
I really enjoy the discussion of the concepts in its plain, intuitive form. The quality of the video is implacable.
Is FFT or SVD better for compression?
Dr. Brunton, how do you know about (keep track of) all these examples you present, e.g. the toy story example, and other examples throughout the series? Thanks a lot for the content!
Thank you.
Is it possible to recover the color image, or to do the analysis on full color? If so how would you go about it? Thanks, great video!
just use FFT for each channel
thank you so much
it was a good help.
thanks alot sir
where can I find the video's code?
Where can we find the code for this to download?
very cool :)
Can anybody tell me how to import this image please
the last 3 min is the killer contents where the 3d pixel intensity diagram becomes an actual image.
Anyone coming from Veritasium's video?
The interface of showing image in python is way worse than in matlab :D
Hey do you know how to do that?
Could you please help me with importing this image?
I'm stuck there