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Both frequency separation and high pass filtering involve separating the high and low frequency data in an image, but what are they measuring the frequency of?  I understand that low frequency equates to things like tonality, while high frequency catches the detail, but I don't know what those nice sine waves that are supposed to explain things are actually showing - it's spatial separation along one axis, but what's the other? 

AP, AD & APub user, running Win10

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Do not confuse

  • the graph of sine wave frequency (=1/wavelenth) on the horizontal, against  frequency (=abundance) of that frequency/wavelength) on the vertical scale, with
  • the two-dimensional representation of the image detail expressed as the sum of sine waves of different frequencies.

What frequency separation does is to separate those parts of the two-dimensional image that can be represented by a the high frequencies (of both x and y) from those represented by the lower frequencies in each of the x and y axes.

John

Windows 10, Affinity Photo 1.10.5 Designer 1.10.5 and Publisher 1.10.5 (mainly Photo), now ex-Adobe CC

CPU: AMD A6-3670. RAM: 16 GB DDR3 @ 666MHz, Graphics: 2047MB NVIDIA GeForce GT 630

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