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  • Image compressions have a number of applications in various fields where the processing throughput and/or latency is a crucial attribute and the main limitation with state of the art implementations of compression algorithms. At the same time the contemporary GPUs provide a tremendous processing power applicable to the image compression acceleration but it calls for a specific algorithm design. We discuss the key components of successful GPU algorithm design and demonstrate this on JPEG2000 compression chain, which contains several types of algorithms: from DWT which is inherently well suited to GPU, through context modeling requiring reformulation in order to perform well on GPU, to arithmetic coding which does not fit the paradigm well but can be optimized to perform faster than CPU versions. Performance evaluation of the optimized JPEG2000 chain will be used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.
  • Image compressions have a number of applications in various fields where the processing throughput and/or latency is a crucial attribute and the main limitation with state of the art implementations of compression algorithms. At the same time the contemporary GPUs provide a tremendous processing power applicable to the image compression acceleration but it calls for a specific algorithm design. We discuss the key components of successful GPU algorithm design and demonstrate this on JPEG2000 compression chain, which contains several types of algorithms: from DWT which is inherently well suited to GPU, through context modeling requiring reformulation in order to perform well on GPU, to arithmetic coding which does not fit the paradigm well but can be optimized to perform faster than CPU versions. Performance evaluation of the optimized JPEG2000 chain will be used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications. (en)
Title
  • GPU-specific reformulations of image compression algorithms
  • GPU-specific reformulations of image compression algorithms (en)
skos:prefLabel
  • GPU-specific reformulations of image compression algorithms
  • GPU-specific reformulations of image compression algorithms (en)
skos:notation
  • RIV/00216224:14330/12:00057518!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/12/0306), P(GD102/09/H042), P(LM2010005)
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
  • 138341
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00057518
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GPU; parallel; reformulation; JPEG; JPEG2000; Context Modeling; Arithmetic coding; MQ-Coder; Huffman coding (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6FAEBC978989]
http://linked.open...v/mistoKonaniAkce
  • San Diego
http://linked.open...i/riv/mistoVydani
  • BELLINGHAM, WA 98227-0010 USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Applications of Digital Image Processing XXXV
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...iv/tvurceVysledku
  • Holub, Petr
  • Matela, Jiří
  • Jirman, Martin
  • Šrom, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000312200600040
http://linked.open.../riv/zahajeniAkce
issn
  • 0277-786X
number of pages
http://bibframe.org/vocab/doi
  • 10.1117/12.929971
http://purl.org/ne...btex#hasPublisher
  • SPIE-INT SOC OPTICAL ENGINEERING
https://schema.org/isbn
  • 9780819492166
http://localhost/t...ganizacniJednotka
  • 14330
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