@inProceedings{
 title = {An IDL Based Image Deconvolution Software Package},
 type = {inProceedings},
 year = {1993},
 pages = {515-519},
 id = {c0fa4a38-ee4b-37e5-acec-4868353ec710},
 created = {2017-03-29T00:58:54.474Z},
 file_attached = {true},
 profile_id = {d9ca9665-cda3-3617-b3e8-ecfc7a8d9739},
 group_id = {5a95a0b6-1946-397c-b16a-114c6fdf3127},
 last_modified = {2017-03-29T20:16:25.638Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Varosi1993},
 private_publication = {false},
 abstract = {Using the Interactive Data Language (IDL), we have implemented some of the basic iterative algorithms for deconvolution of blurred images in a unified environment called DeConv_Tool. Most algorithms have as their goal the optimzation of some goodness of fit statistic, possibly combined with a smoothing criterion. All the statistics for all the implemented algorithms are computed by DeConv_Tool for the purpose of determining the performance and convergence of any particular algorithm and comparing the difference methods. DeConv_Tool allow interactive monitoring of the statistics and the deconvolved image during computation. Results are stored in a structure convenient for making comparisons between methods and reviewing the deconvolution process. The DeConv_Tool package can be acquired by anonymous FTP from the IDL Astronomy User's Library (Landsman 1993).},
 bibtype = {inProceedings},
 author = {Varosi, F. and Landsman, W.B.},
 booktitle = {Astronomical Data Analysis Software and Systems II, ASP Conference Series}
}

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