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Hi all,
I'm a complete novice when it comes to describing images in frequency space and i understand that it is a way of representing images as being composed of a series of sinusoids. So a horizontal striped pattern with a single spatial frequency would have a magnitude image in frequency space with 3 non zero points, the origin the two mirrored points on either side at a distance from the centre depending on the spatial frequency. However in terms of what a Fourier transform actually does to each pixel in the image can anyone explain that. So you run each pixel through a mathematical formula can anyone explain the fast and discrete Fourier transform equations in non-mathematical terms? I haven't really been able to find this online. If you were trying to explain a Fourier transform to someone who knew nothing about imaging or optics even to say the image is decomposed into a series of sinusoids could be a bit baffling..
Thanks for your help,
Matt
I'm a complete novice when it comes to describing images in frequency space and i understand that it is a way of representing images as being composed of a series of sinusoids. So a horizontal striped pattern with a single spatial frequency would have a magnitude image in frequency space with 3 non zero points, the origin the two mirrored points on either side at a distance from the centre depending on the spatial frequency. However in terms of what a Fourier transform actually does to each pixel in the image can anyone explain that. So you run each pixel through a mathematical formula can anyone explain the fast and discrete Fourier transform equations in non-mathematical terms? I haven't really been able to find this online. If you were trying to explain a Fourier transform to someone who knew nothing about imaging or optics even to say the image is decomposed into a series of sinusoids could be a bit baffling..
Thanks for your help,
Matt