Provided by: fitsh_0.9.2-1_amd64
fitrans - performing spatial transformations on the input image
fitrans [transformation and options] <input> [-o|--output <output>]
The main purpose of this program is to perform specific or generic geometric transformations on the input image.
General options: -h, --help Gives general summary about the command line options. --long-help, --help-long Gives a detailed list of command line options. --wiki-help, --help-wiki, --mediawiki-help, --help-mediawiki Gives a detailed list of command line options in Mediawiki format. --version, --version-short, --short-version Gives some version information about the program. -i, --input <image file> Name of the input FITS image file. -o, --output <image file> Name of the output FITS image file. -b, --bitpix <bitpix> Standard FITS output bitpix value. -D, --data <spec> Output pixel data format specification. Spatial transformations: -T, --input-transformation <transformation file> Name of the file which contains the transformation description.Such a file can be created e.g. by the programs `grtrans` or `grmatch`. This file contains basically the same set of <keyword> = <value> pairs as it is used after the -t|--transformation option (see there). -t, --transformation <transformation> Comma-separated list of parameters for the spatial transformation, see section "Parameters for spatial transformations" below. -e, --shift <dx>,<dy> Imply a transformation that shifts the image by <dx>,<dy>. --reverse, --inverse Apply the inverse transformation to the image rather than the original one. -m Simple linear interpolation between pixels, with no exact flux conservation (just a multiplication by the Jacobian of the transformation). -l Linear interpolation between the pixels involving exact flux conservation by integrating on the image surface. -c Bicubic spline interpolation between pixels, with no exact flux conservation (just a multiplication by the Jacobian of the transformation). -k Interpolation by integrationg the flux on a biquadratic interpolation surface, yielding exact flux conservation. -s, --size <sx>,<sy> The size of the output image if it should differ from the original image size. -f, --offset <x>,<y> Zero-point coordinate of the output image in the input image. Parameters for spatial transformations: type=<type> Type of the transformation. In the actual implementation, the only supported type for a transformation is "polynomial". order=<order> Polynomial order for the transformation. dxfit=<coefficients> Comma-separated list of the polynomial coefficients for the X coordinate. The number of coefficients must be 1, 3, 6, ... for the orders 0, 1, 2, ... respectively. dyfit=<coefficients> Comma-separated list of the polynomial coefficients for the Y coordinate. Other simple spatial geometric transformations: -z, --zoom <factor> Zoom the image by the given (integer) factor, involving a biquadratic subpixel-level interpolation and therefore exact flux conservation. -r, --shrink <factor> Shrink the image by the given (integer) factor. -d, --median Use a median-based averaging during the shrinking operation. --optimistic-masking Imply some optimism during the shrinking operation: masked pixels are ignored during the averaging process and the final mask will be computed in a complement manner. -g, --magnify <factor> Same as zooming the image but there is no subpixel-level interpolation. Large-scale image smoothing: -a, --smooth <parameters> Perform a smoothing on the image. The parameters of the smoothing are the following: spline Do a spline interpolation smoothing polynomial Do a polynomial interpolation smoothing [xy]order=<order> Spatial order of the smoothing function. The order in the X and Y coordinates can be set independently, by setting "xorder=..." or "yorder=...". unity Scale the resulting smoothed image to have a mean of 1. detrend The resulting image will be the original image divided by the best fit smoothed surface. [xy]hsize=<halfsize> Do a box filtering with the given halfsize. mean Use the mean value of the pixels for the box filtering. median Use the median value of the pixels for the box filtering. iterations=<iterations> Number of iterations to reject outlier pixels from the box. lower, upper, sigma=<sigma> Lower, upper or symmetric rejection level in the units of standard deviation. Noise estimation: -n, --noise Derive an image which reflects the "noise level" of the image. Slicing or exploding data cube images: -y, --layer <layer> Layer (z-axis index) of the desired image slice. -x, --explode <basename> Explode the input image into individual planar (two dimensional) FITS image. The basename must contain at least one printf-like tag of %d, %i, %o, %x or %X that is replaced by the appropriate layer number index. -y, --first-layer <n> Use the specified value for the first layer index. The subsequent layer indices are incremented normally. By default, the index of the first data cube layer is 0.
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