| dc.contributor.author | Belyaev, Alexander | en_US |
| dc.contributor.author | Yamauchi, Hitoshi | en_US |
| dc.contributor.editor | Peter Eisert and Joachim Hornegger and Konrad Polthier | en_US |
| dc.date.accessioned | 2013-10-31T11:48:47Z | |
| dc.date.available | 2013-10-31T11:48:47Z | |
| dc.date.issued | 2011 | en_US |
| dc.identifier.isbn | 978-3-905673-85-2 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/PE/VMV/VMV11/277-283 | en_US |
| dc.description.abstract | The main purpose of this paper consists of demonstrating advantages of using implicit filtering schemes (noncausal IIR filters, in the signal processing language) for some basic image processing and geometric modeling applications. In particular, applications of implicit filtering for curve subdivision, image filtering, estimating image derivatives, and deblurring Gaussian blur are considered. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Implicit Filtering for Image and Shape Processing | en_US |
| dc.description.seriesinformation | Vision, Modeling, and Visualization (2011) | en_US |
