How does FFT work for images?
The FFT decomposes an image into sines and cosines of varying amplitudes and phases, which reveals repeating patterns within the image. Low frequencies represent gradual variations in the image; they contain the most information because they determine the overall shape or pattern in the image.
What is a 2D FFT?
The Fourier Transform ( in this case, the 2D Fourier Transform ) is the series expansion of an image function ( over the 2D space domain ) in terms of "cosine" image (orthonormal) basis functions.
What is the difference between FFT and Ifft?
FFT (Fast Fourier Transform) is able to convert a signal from the time domain to the frequency domain. IFFT (Inverse FFT) converts a signal from the frequency domain to the time domain.