About: Objective image quality assessment of multiframe super-resolution methods     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Super-resolution (SR) represents a class of signal processing methods allowing to create a high resolution image (HR) from several low resolution images (LR) of the same scene. Therefore, high spatial frequency information can be recovered. Applications may include but are not limited to HDTV, biological imaging, surveillance, forensic investigation. In this paper, a survey of SR methods is provided with focus on the non-uniform interpolation SR approach because of its lower computational demand. Based on this survey eight SR reconstruction algorithms were implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, MSSIM and computational complexity to determine the most suitable algorithm for real video applications. The algorithm should be reasonably computationally efficient to process a large number of color images and achieve good image quality for input videos with various characteristics. This algorithm has been successfully applied and its performance illustrated on examples of real video sequences from different domains.
  • Super-resolution (SR) represents a class of signal processing methods allowing to create a high resolution image (HR) from several low resolution images (LR) of the same scene. Therefore, high spatial frequency information can be recovered. Applications may include but are not limited to HDTV, biological imaging, surveillance, forensic investigation. In this paper, a survey of SR methods is provided with focus on the non-uniform interpolation SR approach because of its lower computational demand. Based on this survey eight SR reconstruction algorithms were implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, MSSIM and computational complexity to determine the most suitable algorithm for real video applications. The algorithm should be reasonably computationally efficient to process a large number of color images and achieve good image quality for input videos with various characteristics. This algorithm has been successfully applied and its performance illustrated on examples of real video sequences from different domains. (en)
Title
  • Objective image quality assessment of multiframe super-resolution methods
  • Objective image quality assessment of multiframe super-resolution methods (en)
skos:prefLabel
  • Objective image quality assessment of multiframe super-resolution methods
  • Objective image quality assessment of multiframe super-resolution methods (en)
skos:notation
  • RIV/68407700:21230/13:00208437!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP102/10/1320), P(LD12018)
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
  • 92879
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00208437
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • super-resolution; image processing; video processing; image reconstruction; performance evaluation; image quality assessment; non-uniform interpolation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2793F2290BCC]
http://linked.open...v/mistoKonaniAkce
  • Pardubice
http://linked.open...i/riv/mistoVydani
  • Pardubice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 23th International Conference RADIOELEKTRONIKA 2013
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
  • Fliegel, Karel
  • Klíma, Miloš
  • Lukeš, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000326877900048
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/RadioElek.2013.6530929
http://purl.org/ne...btex#hasPublisher
  • Univerzita Pardubice
https://schema.org/isbn
  • 978-1-4673-5516-2
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software