Fourier

Intuition behind image derivative using Fourier Transform for edges detection

Intuition behind image derivative using Fourier Transform for edges detection
  1. What does the Fourier transform of an image tell us?
  2. What are the advantages of taking Fourier transform of images?

What does the Fourier transform of an image tell us?

The Fourier Transform is an important image processing tool which is used to decompose an image into its sine and cosine components. The output of the transformation represents the image in the Fourier or frequency domain, while the input image is the spatial domain equivalent.

What are the advantages of taking Fourier transform of images?

The main advantage of Fourier analysis is that very little information is lost from the signal during the transformation. The Fourier transform maintains information on amplitude, harmonics, and phase and uses all parts of the waveform to translate the signal into the frequency domain.

Spectral What happens if you use the Fourier transform of the autocorrelation of a non-WSS process to compute power spectral density?
What happens if you use the Fourier transform of the autocorrelation of a non-WSS process to compute power spectral density?
What is the relation between autocorrelation and power spectral density?How do you find autocorrelation from power spectral density?How can power spe...
Amplitude How to interpolate the peak amplitude of an fft output?
How to interpolate the peak amplitude of an fft output?
How do you interpolate FFT?How do you find amplitude in FFT? How do you interpolate FFT?The fastest way to compute a single interpolated FFT spectra...
Kernel Estimate the Convolution Kernel Based on the Original 2D Array and the Convolved 2D Array
Estimate the Convolution Kernel Based on the Original 2D Array and the Convolved 2D Array
How do you calculate convolution kernel?What is a kernel in computer vision?What is matrix convolution? How do you calculate convolution kernel?Take...