•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

A class-specified learning based super resolution for low-bit-rate compressed images

Author:
Han Zhao , Xiaoguang Li , Li Zhuo
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICCTET.2014.6966303
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1110989
Keyword(s): Aluminum alloys,Conferences,Finite element analysis,Materials,Resistance,Strain,Stress,Bearings,CAD/CAM,Computer simulation,Machine components,Materials testing
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    A class-specified learning based super resolution for low-bit-rate compressed images

Show full item record

contributor authorHan Zhao , Xiaoguang Li , Li Zhuo
date accessioned2020-03-12T23:25:20Z
date available2020-03-12T23:25:20Z
date issued2014
identifier other6890649.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1110989
formatgeneral
languageEnglish
publisherIEEE
titleA class-specified learning based super resolution for low-bit-rate compressed images
typeConference Paper
contenttypeMetadata Only
identifier padid8279750
subject keywordsAluminum alloys
subject keywordsConferences
subject keywordsFinite element analysis
subject keywordsMaterials
subject keywordsResistance
subject keywordsStrain
subject keywordsStress
subject keywordsBearings
subject keywordsCAD/CAM
subject keywordsComputer simulation
subject keywordsMachine components
subject keywordsMaterials testing
identifier doi10.1109/ICCTET.2014.6966303
journal titleultimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
filesize550666
citations0
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace