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i.fft - Fast Fourier Transform (FFT) for image processing.




i.fft help
i.fft input_image=string real_image=string imaginary_image=string [range=integer] [--overwrite] [--verbose] [--quiet]


Allow output files to overwrite existing files
Verbose module output
Quiet module output


Input raster map being fft
Output real part arrays stored as raster map
Output imaginary part arrays stored as raster map
Range of values in output display files
Default: 255


i.fft is an image processing program based on the FFT algorithm given by Frigo et al. (1998), that processes a single input raster map layer (input_image) and constructs the real and imaginary Fourier components in frequency space.


The real and imaginary components are stored as arrays of doubles in the cell_misc directory (for use in the inverse transform program, i.ifft), and are also scaled and formatted into the real_image and imaginary_image raster map layers for inspection, masking, etc. In these raster map layers the low frequency components are in the center and the high frequency components are toward the edges. The input_image need not be square; before processing, the X and Y dimensions of the input_image are padded with zeroes to the next highest power of two in extent (i.e., 256 x 256 is processed at that size, but 200 x 400 is padded to 256 x 512). The cell category values for viewing, etc., are calculated by taking the natural log of the actual values then rescaling to 255, or whatever optional range is given on the command line, as suggested by Richards (1986). A color table is assigned to the resultant map layer.

The current geographic region and mask settings are respected when reading the input file. The presence of a mask will, in general, make the resulting fast Fourier transform invalid, or at least difficult to interpret.


M. Frigo and S. G. Johnson (1998): "FFTW: An Adaptive Software Architecture for the FFT". See FFTW is a C subroutine library for computing the Discrete Fourier Transform (DFT) in one or more dimensions, of both real and complex data, and of arbitrary input size.

Remote Sensing Digital Image Analysis, by John A. Richards, Springer-Verlag, 1986.

Personal communication, between progam author and Ali R. Vali, Space Research Center, University of Texas, Austin, 1990.



David Satnik, GIS Laboratory, Central Washington University
Glynn Clements (FFTW support)

Last changed: $Date: 2003-04-17 07:51:33 -0700 (Thu, 17 Apr 2003) $

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