i.ifft.1grass man page

i.ifft — Inverse Fast Fourier Transform (IFFT) for image processing.

Keywords

imagery, transformation, Fast Fourier Transform

Synopsis

i.ifft
i.ifft --help
i.ifft real=name imaginary=name output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags

--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters

real=name [required]
Name of input raster map (image fft, real part)
imaginary=name [required]
Name of input raster map (image fft, imaginary part
output=name [required]
Name for output raster map

Description

i.ifft is an image processing program based on the algorithm given by Frigo et al. (1998), that converts real and imaginary frequency space images (produced by i.fft) into a normal image.

Notes

The current mask is respected when reading the real and imaginary component files; thus, creating a mask is a primary step for selecting the portion of the frequency space data to be included in the inverse transform. The module wxGUI vector digitizer can be used to create masks while viewing the real or imaginary component image. Alternatively r.circle can be used to generate high-, low- and donut filters specifying the DC point as circle/ring center. When i.ifft is executed, it (automatically) uses the same GRASS region definition setting that was used during the original transformation done with i.fft.

See Also

i.cca, g.gui.iclass, i.fft, i.pca, r.circle, wxGUI vector digitizer

References

·
M. Frigo and S. G. Johnson (1998): "FFTW: An Adaptive Software Architecture for the FFT". See www.fftw.org: 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.
·
Richards, J.A (1986): Remote Sensing Digital Image Analysis, Springer-Verlag, 1986.
·
Personal communication, between program author and Ali R. Vali, Space Research Center, University of Texas, Austin, 1990.

Authors

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

Last changed: $Date: 2014-11-01 11:11:04 +0100 (Sat, 01 Nov 2014) $

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GRASS 7.0.4 Grass User's Manual