1998
DOI: 10.1086/305187
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Deconvolution with Correct Sampling

Abstract: A new method for improving the resolution of astronomical images is presented. It is based on the principle that sampled data cannot be fully deconvolved without violating the sampling theorem. Thus, the sampled image should not be deconvolved by the total Point Spread Function, but by a narrower function chosen so that the resolution of the deconvolved image is compatible with the adopted sampling.Our deconvolution method gives results which are, in at least some cases, superior to those of other commonly use… Show more

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Cited by 219 publications
(244 citation statements)
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“…We used an improved version of the MCS image deconvolution algorithm (Magain et al 1998), because sampled images cannot be fully deconvolved without violating the sampling theorem. Instead, the images are partially deconvolved, meaning that we aim at an improved instead of an infinite resolution.…”
Section: Image Deconvolutionmentioning
confidence: 99%
“…We used an improved version of the MCS image deconvolution algorithm (Magain et al 1998), because sampled images cannot be fully deconvolved without violating the sampling theorem. Instead, the images are partially deconvolved, meaning that we aim at an improved instead of an infinite resolution.…”
Section: Image Deconvolutionmentioning
confidence: 99%
“…Stetson, Davis & Crabtree 1990;Magain, Courbin & Sohy 1998;Lupton et al 2001;Koptelova et al 2005). The majority of these methods requires the assumption of PSF invariance over the frame.…”
Section: T H E a Da P T I V E P S F -F I T T I N G P H Oto M E T R I mentioning
confidence: 99%
“…For a first approach to what kind of disk could produce the PSFblurred images that are observed, we deconvolved them using different methods: (1) a classical reverse Fourier transformation (FT) with Wiener-Kolmogorov filtering (Kolmogorov 1941;Wiener 1949) of the noise, (2) an FT-based van Cittert scheme, (3) the MCS code (Magain et al 1998), and (4) a RichardsonLucy (R-L) scheme (Richardson 1972;Lucy 1974). In Cols.…”
Section: Deconvolutionmentioning
confidence: 99%