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powerspec stsdas.analysis.fourier



powerspec -- Compute the power spectrum of an image.


powerspec input output


This task will compute the power spectrum or the log power spectrum of a 1- or 2-dimensional image. The power spectrum is normalized so that the sum of the pixel values of the power spectrum is equal to the sum of the squares of the pixel values of the input image. Thus the sum of the power spectrum over a given range of frequencies is the contribution of those frequencies to the variance of the input image.

The independent variable for the power spectrum is frequency, and the coordinate parameters in the output header give the mapping from pixels to frequency. For information about the coordinate parameters, type "help fourier option=sys".

For 2-D transforms, this task has the option of using scratch images for intermediate results. Using scratch images may take longer, but it allows the task to function even with limited memory.


input = "" [file name]
Name of the input data file.

If both real and imaginary parts are to be read, the letters "r" and "i" will be appended to input to form the names of the images for real and imaginary parts respectively.

output = "" [file name]
Output image created by powerspec.

The "r" character is not appended to this output image because a power spectrum has no imaginary part.

(inreal = yes) [boolean]
Use the real part of the input data file?
(inimag = no) [boolean]
Use the imaginary part of the input data file?
(center = yes) [boolean]
Shift the coordinate origin to the middle of the output image?
(logpower = no) [boolean]
Take the logarithm (base 10) of the output values? When using this option, a value of -1000 will be assigned to each pixel at which the value of the power spectrum is zero.
(inmemory = yes) [boolean]
For a two-dimensional input image, if inmemory = yes the image will be read into a complex array, the Fourier transform will be performed on that array in-memory, the squared amplitude will be taken to get the power spectrum, and the array will be written to the output image. This requires one complex word for each pixel. The complex array must fit entirely in memory (i.e. no paging) because when performing the Fourier transform the array is accessed both by rows and by columns. If inmemory = no, see the description of len_blk.

For 1-D images, inmemory is ignored.

(len_blk = 256) [integer]
Size of a block to be transposed.

For 2-dimensional input images, if inmemory = no this task transposes each image into scratch images before computing the Fourier transform of the second axis. This parameter is the length of the side of a square region that is transposed in one step. If you get out-of-memory errors, you should flush the process cache (flprcache), reduce the size of len_blk and try again.

This parameter is ignored for 1-D images or if inmemory = yes.

(verbose = yes) [boolean]
Print input and output image names?

Setting verbose=yes shows you the actual names of the image headers, including the "r" & "i" suffixes for real & imaginary parts.

(ftpairs = fourier$ftpairs.dat) [file name]
Name of the file that defines the types of coordinates in a transform pair. For example, LAMBDA <--> WAVENUMB.


1. Compute the logarithm of the power spectrum of an image called "civ" (no imaginary part). The output log power spectrum is put in an image called "p".

	fo> powerspec civ p inimag=no logpower=yes



Type "help fourier opt=sys" for a higher-level description of the fourier package.

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