@inproceedings{5abacc6158c34d3bbf1ce5e247c94f39,
title = "Fast and easy blind deblurring using an inverse filter and PROBE",
abstract = "PROBE (Progressive Removal of Blur Residual) is a recursive framework for blind deblurring. PROBE is neither a functional minimization approach, nor an open-loop sequential method where blur kernel estimation is followed by non-blind deblurring. PROBE is a feedback scheme, deriving its unique strength from the closed-loop architecture. Thus, with the rudimentary modified inverse filter at its core, PROBE{\textquoteright}s performance meets or exceeds the state of the art, both visually and quantitatively. Remarkably, PROBE lends itself to analysis that reveals its convergence properties.",
author = "Naftali Zon and Rana Hanocka and Nahum Kiryati",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017 ; Conference date: 22-08-2017 Through 24-08-2017",
year = "2017",
doi = "10.1007/978-3-319-64698-5\_23",
language = "الإنجليزيّة",
isbn = "9783319646978",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "269--281",
editor = "Anders Heyden and Michael Felsberg and Norbert Kruger",
booktitle = "Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Proceedings",
address = "ألمانيا",
}