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ImagePeriodogram[image]

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

ImagePeriodogram[image,n]

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

ImagePeriodogram[image,n,d]

uses partitions with offset d.

ImagePeriodogram[image,n,d,wfun]

applies a smoothing window wfun to each partition.

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

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

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Data  
Parameters  
Options  
Alignment  
Properties & Relations  
See Also
Related Guides
History
Cite this Page

ImagePeriodogram

ImagePeriodogram[image]

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

ImagePeriodogram[image,n]

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

ImagePeriodogram[image,n,d]

uses partitions with offset d.

ImagePeriodogram[image,n,d,wfun]

applies a smoothing window wfun to each partition.

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.

Examples

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Basic Examples  (1)

Power spectrum of a texture image:

Wolfram Language code: ImagePeriodogram[[image]]

Scope  (4)

Data  (3)

Grayscale image:

Wolfram Language code: ImagePeriodogram[[image]]
Wolfram Language code: ByteCount[[image]]

Color image:

Wolfram Language code: ImagePeriodogram[[image]]

3D image:

Wolfram Language code: Image3D[ImagePeriodogram[[image]], ColorFunction -> "GrayLevelOpacity"]

Parameters  (1)

Power spectrum of the image:

Wolfram Language code: i = [image]; ImagePeriodogram[i]

Use square partitions of size 128×128:

Wolfram Language code: ImagePeriodogram[i, 128]

Use rectangular partitions:

Wolfram Language code: ImagePeriodogram[i, {128, 64}]

Overlap the partitions:

Wolfram Language code: ImagePeriodogram[i, 128, 64]

Smooth with a Hamming window:

Wolfram Language code: ImagePeriodogram[i, 128, 64, HammingWindow]

Pad the partitions to increase frequency resolution:

Wolfram Language code: ImagePeriodogram[i, 128, 64, HammingWindow, 256]

Options  (1)

Alignment  (1)

By default, the power spectrum is centered:

Wolfram Language code: ImagePeriodogram[[image]]

Use Alignment->{Left,Top} to avoid centering:

Wolfram Language code: ImagePeriodogram[[image], Alignment -> {Left, Top}]

Centering can be switched off for one dimension:

Wolfram Language code: ImagePeriodogram[[image], Alignment -> {Left, Center}]

Properties & Relations  (2)

Create the image periodogram from the power spectrum data:

Wolfram Language code: s = PeriodogramArray[[image]]; ImageAdjust[Image[Log10[s]]]

Use PeriodogramArray to change the default visualization settings of the image power spectrum:

Wolfram Language code: s = PeriodogramArray[[image]]; ArrayPlot[Log[s], ColorFunction -> "Rainbow", ColorFunctionScaling -> True]
Wolfram Research (2012), ImagePeriodogram, Wolfram Language function, https://reference.wolfram.com/language/ref/ImagePeriodogram.html.

Text

Wolfram Research (2012), ImagePeriodogram, Wolfram Language function, https://reference.wolfram.com/language/ref/ImagePeriodogram.html.

CMS

Wolfram Language. 2012. "ImagePeriodogram." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ImagePeriodogram.html.

APA

Wolfram Language. (2012). ImagePeriodogram. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImagePeriodogram.html

BibTeX

@misc{reference.wolfram_2026_imageperiodogram, author="Wolfram Research", title="{ImagePeriodogram}", year="2012", howpublished="\url{https://reference.wolfram.com/language/ref/ImagePeriodogram.html}", note=[Accessed: 12-June-2026]}

BibLaTeX

@online{reference.wolfram_2026_imageperiodogram, organization={Wolfram Research}, title={ImagePeriodogram}, year={2012}, url={https://reference.wolfram.com/language/ref/ImagePeriodogram.html}, note=[Accessed: 12-June-2026]}