1997
DOI: 10.1051/aas:1997128
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Interactive Deconvolution with Error Analysis (IDEA) in astronomical imaging: Application to aberrated HST images on SN 1987A, M 87 and 3C 66B

Abstract: Abstract. The regularized reconstruction algorithm Interactive Deconvolution with Error Analysis (IDEA) is presented. One of its main advantages is to control the error propagation and to provide an estimation of the quality of the deconvolved image. IDEA is compared with two popular probabilistic methods: Richardson-Lucy and Maximum Entropy. These three methods are applied to Hubble Space Telescope aberrated images: SN 1987A and the jets of M 87 and 3C 66B.

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Cited by 2 publications
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“…Our approach is motivated by the need to extract information from objects which are only slightly resolved and to contend with the undersampling of the PC2. Both of these effects limit the ability to uniquely reconstruct brightness distributions of small angular size sources, such as nuclei (e.g., Wildey 1992;Bouyoucef et al 1997). For non-active or weakly active nuclei, our models are motivated physically by the structure of the Milky Way nucleus (e.g., Mezger et al 1996) as it would appear at larger distances.…”
Section: Model Fitsmentioning
confidence: 99%
“…Our approach is motivated by the need to extract information from objects which are only slightly resolved and to contend with the undersampling of the PC2. Both of these effects limit the ability to uniquely reconstruct brightness distributions of small angular size sources, such as nuclei (e.g., Wildey 1992;Bouyoucef et al 1997). For non-active or weakly active nuclei, our models are motivated physically by the structure of the Milky Way nucleus (e.g., Mezger et al 1996) as it would appear at larger distances.…”
Section: Model Fitsmentioning
confidence: 99%