Implicit filtering for image and shape processing

Alexander Belyaev, Hitoshi Yamauchi

Research output: Contribution to conferencePoster

1 Citation (Scopus)

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.
Original languageEnglish
Publication statusPublished - 2011
Event16th International Workshop on Vision, Modeling and Visualization - Berlin, Germany
Duration: 4 Oct 20116 Oct 2011

Conference

Conference16th International Workshop on Vision, Modeling and Visualization
CountryGermany
CityBerlin
Period4/10/116/10/11

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