ME565 Lecture 18: FFT and Image Compression

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ME565 Lecture 18
Engineering Mathematics at the University of Washington

FFT and Image Compression

  1. Steve Brunton
  2. Engineering mathematics
  3. Mathematics
  4. Applied mathematics
  5. Matlab
  6. Partial differential equation
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Комментарии
Автор

The last part indeed blew my mind!! It was a beautiful explanation of how image compression is done. Thank you for making quality education freely available, Prof. Brunton!

anantchopra
Автор

Wow ! Thanks for the great lecture Steve. The last part totally blew my mind !!

ahmedkamiss
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38:50 - 43:08
You just got a new subscriber my friend.

MrGlacierNova
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Really great lecture, enjoyed the last compression concept!!! I have just one question if I want to do it on an RGB image instead of gray, how should I define threshold for loop when its all 3 rgb components.

saranshsheth
Автор

Thanx great lecture
What I do not understand is why the final image will weight less in sense of bytes if you will save it as a picture and look how much it weight in windows. I tried it and didt work' final image weighs same, and it makes sense as
you still have same size matrix, still each pixel has its own value. The FFT trashold you have done just smotthens the differences between pixels values, but still there is same amount of pixels as before and each has own value...

igorg