DocumentCode :
2302575
Title :
Assessment of single-frame resolution enhancement algorithms
Author :
Özdemir, Hüseyin ; Sankur, Bülent
fYear :
2009
fDate :
9-11 April 2009
Firstpage :
145
Lastpage :
148
Abstract :
This paper provides subjective and objective a comparison of a multi-frame superresolution algorithm with four different single-frame algorithms. The multi-frame super-resolution reconstruction is based on an adaptive filtering approach, using least mean squares (LMS). The single-frame methods are, respectively, bicubic interpolation, wavelet-based interpolation, edge-adaptive interpolation and interpolation using wide sense Markov random fields. The performance is measured objectively with. PSNR and SSIM criteria, while the subjective evaluation is based on forced choice scoring. Wilcoxon rho test is employed to check fort e degree of agreement between subjective and objective results.
Keywords :
Markov processes; adaptive filters; image enhancement; image resolution; interpolation; least mean squares methods; random processes; statistical testing; wavelet transforms; LMS; Markov random fields; PSNR criteria; SSIM criteria; Wilcoxon rho test; adaptive filtering approach; bicubic interpolation; edge-adaptive interpolation; forced choice scoring; least mean squares method; multiframe superresolution reconstruction; objective evaluation; single-frame method; single-frame resolution enhancement algorithm; subjective evaluation; wavelet-based interpolation; Adaptive filters; DH-HEMTs; Gaussian processes; Image reconstruction; Interpolation; Least squares approximation; Markov random fields; PSNR; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-4435-9
Electronic_ISBN :
978-1-4244-4436-6
Type :
conf
DOI :
10.1109/SIU.2009.5136353
Filename :
5136353
Link To Document :
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