caa a22 4500 467914664 CHVBK 20180406152858.0 cr unu---uuuuu 170328e20061201xx s 000 0 eng 10.1007/s11263-006-6703-9 doi (NATIONALLICENCE)springer-10.1007/s11263-006-6703-9 A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products [Elektronische Daten] [Bart Janssen, Frans Kanters, Remco Duits, Luc Florack, Bart Romeny] Exploration of information content of features that are present in images has led to the development of several reconstruction algorithms. These algorithms aim for a reconstruction from the features that is visually close to the image from which the features are extracted. Degrees of freedom that are not fixed by the constraints are disambiguated with the help of a so-called prior (i.e. a user defined model). We propose a linear reconstruction framework that generalizes a previously proposed scheme. The algorithm greatly reduces the complexity of the reconstruction process compared to non-linear methods. As an example we propose a specific prior and apply it to the reconstruction from singular points. The reconstruction is visually more attractive and has a smaller 핃2-error than the reconstructions obtained by previously proposed linear methods. Springer Science + Business Media, LLC, 2006 reconstruction nationallicence scale space nationallicence sampling nationallicence deep structure nationallicence Janssen Bart Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut Kanters Frans Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut Duits Remco Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut Florack Luc Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut Romeny Bart Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut International Journal of Computer Vision Kluwer Academic Publishers 70/3(2006-12-01), 231-240 0920-5691 70:3<231 2006 70 11263 https://doi.org/10.1007/s11263-006-6703-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-6703-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Janssen Bart Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut NATIONALLICENCE 700 1- Kanters Frans Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut NATIONALLICENCE 700 1- Duits Remco Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut NATIONALLICENCE 700 1- Florack Luc Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut NATIONALLICENCE 700 1- Romeny Bart Eindhoven University of Technology, Den Dolech 2, Postbus 513, 5600 MB, Eindhoven, The Netherlands aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 70/3(2006-12-01), 231-240 0920-5691 70:3<231 2006 70 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer