Filter löschen
Filter löschen

what does it mean "windowing and truncation in fequency domain "

5 Ansichten (letzte 30 Tage)
how truncation is performed on image using different windows and does that window size depend on original image

Akzeptierte Antwort

Image Analyst
Image Analyst am 13 Dez. 2012
Basically you multiply the FFT (spectrum, Fourier Domain) by something that zeros out or attenuates higher frequencies. This "truncates" the spectrum. You choose the window size. It does not depend on the original image size, except that if the width of the truncating window is too huge (wider than the spectrum), you wouldn't be truncating anything. So in a very indirect way it depends on the image size (because hte spectrum size depends on the image size and thus the largest truncating window depends on the image size), but not really directly.
  3 Kommentare
Image Analyst
Image Analyst am 13 Dez. 2012
I suggest you try a variety of windows such as 32 by 64, 8 by 128, 16 by 16, and observe in each case how it affects the image, and try to understand why.
Zuhaib
Zuhaib am 18 Mai 2013
thank you for your assistance

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (1)

Arthur
Arthur am 12 Dez. 2012
I used some thing like your question when i worked with Fourier transform. And the analysis could be on the frequecy domain (frequency spectrum)
Or a window of a cicle is used to generate the RMS value of a wave of many of cicles. step by step. (its a way of windowing).
I did not sure if it is your question.
  4 Kommentare
Arthur
Arthur am 13 Dez. 2012
Bearbeitet: Arthur am 13 Dez. 2012
ok! I think it does not need, but I think it would facilitate the work if it were integer multiple of the main image. As the friend suggested
Image Analyst
Image Analyst am 13 Dez. 2012
Nothing will be facilitated. Integer multiple (which of course won't have any effect whatsoever) or integer divisor (which is what I think you meant) - none of those are any better or easier than picking some arbitrary window width. It just doesn't matter.

Melden Sie sich an, um zu kommentieren.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by