Interpolation of scientific image databases

Eric Georg Kinner, Jonas Lukasczyk, David Honegger Rogers, Ross Maciejewski, Christoph Garth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper explores how recent convolutional neural network (CNN)-based techniques can be used to interpolate images inside scientific image databases. These databases are frequently used for the interactive visualization of large-scale simulations, where images correspond to samples of the parameter space (e.g., timesteps, isovalues, thresholds, etc.) and the visualization space (e.g., camera locations, clipping planes, etc.). These databases can be browsed post hoc along the sampling axis to emulate real-time interaction with large-scale datasets. However, the resulting databases are limited to their contained images, i.e., the sampling points. In this paper, we explore how efficiently and accurately CNN-based techniques can derive new images by interpolating database elements. We demonstrate on several real-world examples that the size of databases can be further reduced by dropping samples that can be interpolated post hoc with an acceptable error, which we measure qualitatively and quantitatively.

Original languageEnglish (US)
Title of host publication2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020
EditorsChristoph Garth, Jan C. Aurich, Barbara Linke, Ralf Muller, Bahram Ravani, Gunther H. Weber, Benjamin Kirsch
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771832
DOIs
StatePublished - Apr 1 2021
Event2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020 - Virtual, Wadern, Germany
Duration: Nov 16 2020Nov 18 2020

Publication series

NameOpenAccess Series in Informatics
Volume89
ISSN (Print)2190-6807

Conference

Conference2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020
Country/TerritoryGermany
CityVirtual, Wadern
Period11/16/2011/18/20

Keywords

  • Cinema database
  • Image database
  • Image interpolation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Interpolation of scientific image databases'. Together they form a unique fingerprint.

Cite this