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
DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/CRV.2006.23
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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