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    Optimum  image  reconstruction from irregularly sampled data with finite
    angular resolution.

    This task makes a cube from a table  containing irregularly sampled  da-
    ta.   The  data  is interpolated/extrapolated using a convolution taking
    into account the beam size of the observing telescope. The smoothing ef-
    fect  of  the  convolution  can  be  optionally removed by this task, by
    Fourier filtering. Fourier filtering is also used to suppress high  spa-
    tial  frequency  noise.  The resulting image is thus optimal in terms of
    signal to noise and angular resolution.

    In mode NATURAL, a convolution kernel is used to interpolate the irregu-
    larly sampled data using the weight of each individual point.

    In mode UNIFORM, the same convolution process is used but the individual
    points are assumed to have equal weight.

    The pixel size is specified by the user, but the map size is  determined
    by  the task.  The input  table can be created by command GRID in CLASS,
    or using task TABLE from a formatted file.

Gildas manager 2014-07-01