A class-specified learning based super resolution for low-bit-rate compressed images
Publisher:
Year
: 2014DOI: 10.1109/ICCTET.2014.6966303
Keyword(s): Aluminum alloys,Conferences,Finite element analysis,Materials,Resistance,Strain,Stress,Bearings,CAD/CAM,Computer simulation,Machine components,Materials testing
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A class-specified learning based super resolution for low-bit-rate compressed images
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contributor author | Han Zhao , Xiaoguang Li , Li Zhuo | |
date accessioned | 2020-03-12T23:25:20Z | |
date available | 2020-03-12T23:25:20Z | |
date issued | 2014 | |
identifier other | 6890649.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1110989 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A class-specified learning based super resolution for low-bit-rate compressed images | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8279750 | |
subject keywords | Aluminum alloys | |
subject keywords | Conferences | |
subject keywords | Finite element analysis | |
subject keywords | Materials | |
subject keywords | Resistance | |
subject keywords | Strain | |
subject keywords | Stress | |
subject keywords | Bearings | |
subject keywords | CAD/CAM | |
subject keywords | Computer simulation | |
subject keywords | Machine components | |
subject keywords | Materials testing | |
identifier doi | 10.1109/ICCTET.2014.6966303 | |
journal title | ultimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on | |
filesize | 550666 | |
citations | 0 |