ImagePeriodogram

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`ImagePeriodogram`

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shows the squared magnitude of the discrete Fourier transform (power spectrum) of image.

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ImagePeriodogram[image,n]

shows the average of power spectra of non-overlapping partitions of size n×n.

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ImagePeriodogram[image,n,d]

uses partitions with offset d.

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ImagePeriodogram[image,n,d,wfun]

applies a smoothing window wfun to each partition.

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ImagePeriodogram[image,n,d,wfun,m]

pads partitions with zeros to length m prior to the computation of the transform.

Details and Options

ImagePeriodogram logarithmically scales the power spectrum of the image and adjusts the values so that they range from 0 to 1.
In ImagePeriodogram[image,n,d,wfun], the smoothing window wfun can be specified using a window function that will be sampled between and , or a list of length n. The default window is DirichletWindow, which effectively does no smoothing.
ImagePeriodogram[image,n] is equivalent to ImagePeriodogram[image,n,n,DirichletWindow,n].
ImagePeriodogram[image,{n₁,n₂}] partitions image into blocks of size n₁×n₂.
For 3D images, ImagePeriodogram[image,{n₁,n₂,n₃}] partitions image into blocks of size n₁×n₂×n₃.
For multichannel images, ImagePeriodogram returns a multichannel image where each channel is the power spectrum computed for each channel separately.
ImagePeriodogram accepts the Alignment option that determines the location of the zero frequency term. The default is Alignment->Center. With Alignment->{Left,Top}, the zero frequency term is placed at the top-left corner of the image.