Why shift, take absolute value and perform log transform to the frequency spectrum of an image obtained by fft2?
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I have to obtain the frequency spectrum of a grayscale image using FFT in MATLAB and plot the spectrum. I used fft2() and plotted the output.
I watched a tutorial on plotting frequency spectrum and in that, they perform fftshit(), take the absolute value, apply a log transformation, scale pixels using mat2gray() and then convert into uint8 before plotting the spectrum.
My question is, is that necessary to perform all those steps before plotting the frequency spectrum?
I know fftshift() is used to center the spectrum around 0th frequency coefficient. But what is the use of performing other functions?
I plotted the frequency spectrum without shifting, after shifting, and after applying the above-mentioned steps.
After this, I have to apply a low pass filter to the grayscale image and compare frequency spectrums. (This is a homework question)
Any advice is much appreciated. Thank you!
yanqi liu on 8 Nov 2021
abs(fft_shifted)+1 to avoid log(0) or log(neg)
log to display result in log space，to avoid some data too big with some data too small
Chris on 8 Nov 2021
take the absolute value
The log of a negative number is undefined, which would make for a boring image.
apply a log transformation
It's likely some intensities will be orders of magnitude higher than some others. Applying a log scale allows you to see the smaller values as well. Otherwise, the image will be boring.
scale pixels using mat2gray() and then convert into uint8
I don't know what function you're using to display the image, but functions like imshow() expect integers on a 0 to 255 scale (an 8-bit pixel map). im2uint8(mat2gray()) accomplishes that scaling.