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  • We present a novel compression algorithm for 2D scientific data and images based on exponentially-convergent adaptive higher-order finite element methods (FEM). So far, FEM has been used mainly for the solution of partial differential equations (PDE), but we show that it can be applied to data and image compression easily. The adaptive compression algorithm is trivial compared to adaptive FEM algorithms for PDE since the error estimation step is not present. The method attains extremely high compression rates and is able to compress a data set or an image with any prescribed error tolerance. Compressed data and images are stored in the standard FEM format, which makes it possible to analyze them using standard PDE visualization software. Numerical examples are shown. The method is presented in such a way that it can be understood by readers who may not be experts of the finite element method.
  • We present a novel compression algorithm for 2D scientific data and images based on exponentially-convergent adaptive higher-order finite element methods (FEM). So far, FEM has been used mainly for the solution of partial differential equations (PDE), but we show that it can be applied to data and image compression easily. The adaptive compression algorithm is trivial compared to adaptive FEM algorithms for PDE since the error estimation step is not present. The method attains extremely high compression rates and is able to compress a data set or an image with any prescribed error tolerance. Compressed data and images are stored in the standard FEM format, which makes it possible to analyze them using standard PDE visualization software. Numerical examples are shown. The method is presented in such a way that it can be understood by readers who may not be experts of the finite element method. (en)
Title
  • On Scientific Data and Image Compression Based on Adaptive Higher-Order FEM
  • On Scientific Data and Image Compression Based on Adaptive Higher-Order FEM (en)
skos:prefLabel
  • On Scientific Data and Image Compression Based on Adaptive Higher-Order FEM
  • On Scientific Data and Image Compression Based on Adaptive Higher-Order FEM (en)
skos:notation
  • RIV/61388998:_____/09:00334842!RIV10-AV0-61388998
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/0496), P(IAA100760702), Z(AV0Z20570509)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 331451
http://linked.open...ai/riv/idVysledku
  • RIV/61388998:_____/09:00334842
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data compression; image compression; adaptive hp-FEM (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [7B25629A5E18]
http://linked.open...i/riv/nazevZdroje
  • Advances in Applied Mathematics and Mechanics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 1
http://linked.open...iv/tvurceVysledku
  • Šolín, Pavel
  • Andrš, David
http://linked.open...n/vavai/riv/zamer
issn
  • 2070-0733
number of pages
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