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The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
Comparison of Super-Resolution Algorithms Using Image Quality Measures
Quebec City, Quebec, Canada
June 07-June 09
ISBN: 0-7695-2542-3
ASCII Text
x 
 
Isabelle Begin, Frank P. Ferrie, "Comparison of Super-Resolution Algorithms Using Image Quality Measures," Computer and Robot Vision, Canadian Conference, pp. 72, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CRV.2006.23,
author = {Isabelle Begin and Frank P. Ferrie},
title = {Comparison of Super-Resolution Algorithms Using Image Quality Measures},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2006},
isbn = {0-7695-2542-3},
pages = {72},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2006.23},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Comparison of Super-Resolution Algorithms Using Image Quality Measures
SN - 0-7695-2542-3
SP
EP
A1 - Isabelle Begin,
A1 - Frank P. Ferrie,
PY - 2006
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Isabelle Begin, McGill University, Canada
Frank P. Ferrie, McGill University, Canada
This paper presents comparisons of two learning-based super-resolution algorithms as well as standard interpolation methods. To allow quality assessment of results, a comparison of a variety of image quality measures is also performed. Results show that a MRF-based super-resolution algorithm improves a previously interpolated image. The estimated degree of improvement varies both according to the quality measure chosen for the comparison as well as the image class.
Citation:
Isabelle Begin, Frank P. Ferrie, "Comparison of Super-Resolution Algorithms Using Image Quality Measures," crv, pp.72, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
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