Write down a 3x3 filter that returns a positive value if the average value of the 4-adjacent neighbors is less than the center and a negative value otherwise?
above question uses a kernal based filter... need an explanation on how they work.
Which has more information, the phase or the magnitude?
What happens if you take the phase from one image and combine it with the magnitude from another image?
Why does the Gaussian give a nice smooth image, but the square filter give edgy artifacts?
how does one Match the spatial domain image to the Fourier magnitude image?
What Effect Does This Filter Have?
above question uses a kernal based filter... need an explanation on how they work.
Which has more information, the phase or the magnitude?
What happens if you take the phase from one image and combine it with the magnitude from another image?
Why does the Gaussian give a nice smooth image, but the square filter give edgy artifacts?
how does one Match the spatial domain image to the Fourier magnitude image?
What Effect Does This Filter Have?
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