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fconvolve stsdas.analysis.fourier


NAME · USAGE · DESCRIPTION · PARAMETERS · EXAMPLES · BUGS · REFERENCES
SEE_ALSO

NAME

fconvolve -- Convolve 1- or 2-dimensional images.

USAGE

fconvolve input1 input2 output

DESCRIPTION

This task performs a convolution of 1- or 2-dimensional images using Fourier methods.

The two input images are read into arrays, padding with zero as needed to make the arrays the same size. The second image is then shifted to put the pixel with the maximum value at the origin. The Fourier transform of each array is taken, the results are multiplied together, and the inverse transform is taken, with the result saved to the output image.

The pixel values of output will be about the same as those of input1 (except for the smoothing, of course) if the sum of all pixel values of input2 is one.

Unlike other tasks in the fourier package, fconvolve always operates in-memory, rather than having the option of using scratch images. Two complex arrays of the same size are used. The size depends on the sizes of the input images and on the pad parameter. One complex array must fit entirely in memory (i.e. no paging) in order to perform the Fourier transform in a reasonable amount of time.

PARAMETERS

input= "" [file name]
Name of the first input data set (images containing the real and/or imaginary parts). Type "help fourier opt=sys" for a description of the naming convention for real and imaginary parts. See also inreal1 and inimag1, which specify whether the real and imaginary parts are to be read.
input= "" [file name]
Name of the second input data set. This is the "PSF", or kernel, with which input1 will be convolved. See also inreal2 and inimag2, which specify whether the real and imaginary parts are to be read.

It is expected that input2 will reach a maximum (in absolute value) somewhere near the middle of the image and will be not too far from zero near the edges of the image. The task searches for the maximum of input2 and shifts it to the first pixel -- the zero point for the Fourier transform -- before taking the transform. If this were not done, the result of the convolution would be shifted by about half the size of input2. Note that input2 should NOT ordinarily have its maximum at the first pixel. If it does, then the following three conditions must hold. The size of input2 must be at least as large as input1 in each dimension. The pad parameter must be set to no. The shift must have been done so that the left half of the kernel wraps around to the right edge of the image. (The shift task will do it this way.)

output = "" [file name]
Name of the output data set to be created by fconvolve.
(inreal= yes) [boolean]
Use the real part of input1?
(inimag= no) [boolean]
Use the imaginary part of input1?
(inreal= yes) [boolean]
Use the real part of input2?
(inimag= no) [boolean]
Use the imaginary part of input2?
(outreal = yes) [boolean]
Create the real part of the output data set?
(outimag = no) [boolean]
Create the imaginary part of the output data set? Note that the default is not to save the imaginary part. This default is appropriate for the case that both input1 and input2 are real images. If either or both have imaginary parts, then outimag should be set to yes.
(pad = yes) [boolean]
Use sum of sizes of input images?"

The default is for the convolution to be done on arrays that are larger than the input images; their size is the sum of the sizes of the two input images, and they are padded with zeros.

If pad = no, then the convolution is done using arrays that are as large as the larger of the two input images. Thus some padding will still be done if the images are not the same size. For 2-D images it may be that input1 is larger in the X direction, but input2 is larger in the Y direction, in which case input1 will be padded with zeros in Y, while input2 will be padded with zeros in X.

If input1 has significantly non-zero values at its edges, and input1 is at least as large as input2, then pad should be set to yes to prevent aliasing.

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

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

EXAMPLES

1. Convolve the file "file1.hhh" with a PSF image "psf.hhh" (both of which are real, with no imaginary part). Store the output in a file called "x.hhh". The output imaginary part will be zero, except for roundoff error, so don't keep it.

fo> fconvolve file1 psf x

BUGS

REFERENCES

Bracewell, R.N.: "The Fourier Transform and Its Applications," McGraw-Hill Publishing Co., New York, 1986.

SEE ALSO

forward, carith, inverse

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


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