Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters

Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters (2002)

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by Markus Hadwiger , Ivan Viola , Thomas Theußl , Helwig Hauser , Ý Helwig Hauser

Venue:	In Proceedings of Vision, Modeling, and Visualization 2002
Citations:	11 - 6 self

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Datum	Value	Source
TITLE	Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters	user correction - Legacy Corrections
AUTHOR NAME	Markus Hadwiger	user correction - Legacy Corrections
AUTHOR AFFIL	£ VRVis Research Center Ý Institute of Computer Graphics and Algorithms; Vienna, Austria Vienna University of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Austria	user correction - Legacy Corrections
AUTHOR NAME	Ivan Viola	user correction - Legacy Corrections
AUTHOR AFFIL	£ VRVis Research Center Ý Institute of Computer Graphics and Algorithms; Vienna, Austria Vienna University of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Austria	user correction - Legacy Corrections
AUTHOR NAME	Thomas Theußl	user correction - Legacy Corrections
AUTHOR AFFIL	£ VRVis Research Center Ý Institute of Computer Graphics and Algorithms; Vienna, Austria Vienna University of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Austria	user correction - Legacy Corrections
AUTHOR NAME	Helwig Hauser	user correction - Legacy Corrections
AUTHOR NAME	Ý Helwig Hauser	user correction - Legacy Corrections
AUTHOR AFFIL	£ VRVis Research Center Ý Institute of Computer Graphics and Algorithms; Vienna, Austria Vienna University of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Austria	user correction - Legacy Corrections
ABSTRACT	Current graphics hardware offers only very limited support for convolution operations, which is primarily intended for image processing. The input and output sample grids have to coincide, making it impossible to use these features for more general filtering tasks such as image or texture resampling. Furthermore, most hardware employs linear interpolation for texture reconstruction purposes, incurring noticeable artifacts. Higher-order interpolation via general convolution is able to remove most of these artifacts. However, real-time applications currently do not consider higher-order filtering due to lack of hardware support. We present algorithms for extremely fast convolution on graphics hardware, which are able to deploy high-resolution filters, i.e., filters that are sampled at a much higher resolution than the width of the filter kernel. This framework can be used for general convolution tasks, but is especially suited to substituting the native bi-linear or tri-linear interpolation currently used for texture magnification, while still achieving frame rates of up to 100 frames per second for full screen filtering with bi-cubic interpolation.	user correction - Legacy Corrections
YEAR	2002	INFERENCE
VENUE	In Proceedings of Vision, Modeling, and Visualization 2002	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	155--162	INFERENCE
VOLUME	2	INFERENCE
CITATIONS	16 found	ParsCit 1.0