Implicit Filtering for Image and Shape Processing

Belyaev, Alexander; Yamauchi, Hitoshi

Implicit Filtering for Image and Shape Processing

Files

277-283.pdf (797.33 KB)

Date

2011

Authors

Belyaev, Alexander
Yamauchi, Hitoshi

Publisher

The Eurographics Association

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.

        @inproceedings{:10.2312/PE/VMV/VMV11/277-283
,
booktitle = {Vision, Modeling, and Visualization (2011)
},
editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier
},
title = {{Implicit Filtering for Image and Shape Processing
}},
author = {Belyaev, Alexander and 
Yamauchi, Hitoshi
},
year = {2011
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-85-2
},
DOI = {/10.2312/PE/VMV/VMV11/277-283
}
}