DocumentCode
698214
Title
Subjective evaluation of single-frame superresolution algorithms
Author
Ozdemir, Huseyin ; Sankur, Bulent
Author_Institution
Electr. & Electron. Eng. Dept., Bogazici Univ., Istanbul, Turkey
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
1102
Lastpage
1106
Abstract
We comparatively evaluate several single-frame interpolation methods with respect to a reference multi-frame superresolution algorithm. The objective performance was measured using Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM), while subjective evaluation was based on two-alternative forced choice scores. Rank correlation was used to assess the degree of agreement between subjective and objective measures, and to determine the best performing single-frame interpolation method to be used in video industry.
Keywords
image resolution; video signal processing; multi-frame superresolution algorithm; peak signal to noise ratio; rank correlation; single-frame interpolation methods; single-frame superresolution algorithms; structural similarity index measure; video industry; Correlation; Image resolution; Interpolation; Least squares approximations; PSNR; Signal resolution; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077789
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