3
$\begingroup$

First time studying image processing...
I just don't understand what does fourier transformed image of an image describe?
For example consider given following pictures, The first one is the image, and the second one is the fourier transformation of the image.

The Lena image The fourier transformation of lena


Now my question is:
By given the fourier transformation image, what am i suppose to comprehend from that?

I would really appreciate any help here, i just cannot proceed with my studies without understanding this.

Thanks in advance.

$\endgroup$
5
$\begingroup$

The Fourier transform image is a convenient representation to perform other functions on the images such as filtering. By itself, there's probably not much you can intuit by just looking at it.

In the example you posted you can see how most of the energy in the Fourier image is near the center. This means that most of the energy in the image is in low frequencies. In other words, there are many areas of the picture with smooth texture like her shoulder, the hat and the blurred background.

The black areas in the fourier image are away from the center. These represent the high frequencies, i.e. rough texture on the image or portions of the image that change rapidly. The high frequencies are black in the fourier image, which means that there is not a lot of high frequency energy in the Lena image. If you took a picture of static on an old tv screen then it would have a lot of high frequency energy in the image. There would be no dark regions in the fourier image.

Each pixel in the fourier image corresponds to a 2d-wave that is used to make up the original image. There is no spatial correspondence between the regions of the fourier image and the original image. Each pixel in the fourier image corresponds to a 2d-wave across the whole of the original image.

$\endgroup$
  • $\begingroup$ What about black areas in the transformed image? Or what about the areas which don't have smoothy texture like the shadow line on her nose, how do they transformed in fourier? $\endgroup$ – dariush Feb 21 '14 at 17:37
  • $\begingroup$ I edited my answer to include more detail $\endgroup$ – Aaron Feb 21 '14 at 18:28

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.