Up: Image Processing Tasks
This program resamples an input data cube on a finer grid for the
first two dimensions (hence the data cube is treated as an ensemble of
images). The output grid may be explicitly determined from the
conversion formulae of the two first axis, or implicitly from the number
of pixels of the two first axis and the input cube conversion formulae.
Two different methods are available for the resampling :
The SLOW method, which is general and takes properly into account the
input blanking value. This method is based on the same algorithm as the
RANDOM command in GreG. It triangulates the input non-blanked
values and uses Lagrange polynomials to interpolate on the finer grid.
For optimisation purposes, the same triangulation is used for all
planes, which assumes that the same pixels are blanked in all planes.
If this is not the case, the individual planes should be extracted, and
The FAST method, which ignores the input blanking value. This
method is based on the same algorithm as the RESAMPLE command in GreG.
It is faster, but should be used only if no input pixel is blanked.
If the data is undersampled, this task is the recommended second step
in the data analysis of a cube produced by command ANALYSE\CUBE in
CLASS, immediately after the TRANSPOSE program. Task MAKE_CUBE is
preferable for oversampled data.