Image-plane deconvolution (deconvolve)

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5.8 Image-plane deconvolution (deconvolve)

If you have only an image (obtained from some telescope) and an image of its point spread function, then you can attempt a simple image-plane deconvolution. Note that for interferometer data, full uv-plane deconvolution using clean or similar algorithm is superior!

The default inputs for deconvolve are:

#  deconvolve :: Deconvoving a point spread function from an image

imagename   =         ’’ #   Name of image to decolvolve
model       =         ’’ #   Name of output image to which deconvolved components are stored
psf         =         ’’ #   Name of psf or gaussian parameters if psf is assumed gaussian
alg         =    ’clark’ #   Deconvolution alorithm to use
niter       =         10 #   number of iteration to use in deconvolution process
gain        =        0.1 #   CLEAN gain parameter
threshold   =    ’0.0Jy’ #   level below which sources will not be deconvolved
mask        =         ’’ #   Name of image that has mask to limit region of deconvolution
async       =      False #   if True run in the background, prompt is freed

The algorithm (alg) options are: ’clark’, ’hogbom’, ’multiscale’ or ’mem’. The ’multiscale’ and ’mem’ options will open the usual set of sub-parameters for these methods.

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