DocumentCode :
226648
Title :
Interpolation techniques versus F-transform in application to image reconstruction
Author :
Pavel, Vlasanek ; Irina, Perfilieva
Author_Institution :
Dept. of Inf. & Comput., Univ. of Ostrava, Ostrava, Czech Republic
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
533
Lastpage :
539
Abstract :
Many interpolation techniques are available for image reconstruction, with differences in time complexity, memory complexity and quality. In this article, we compare the application of bilinear interpolation, nearest neighbor interpolation and the F-transform approximation technique to the problem of image reconstruction. Based on our results, F-transform achieves the best results in terms of quality.
Keywords :
approximation theory; computational complexity; image reconstruction; interpolation; transforms; F-transform approximation technique; bilinear interpolation technique; image reconstruction; memory complexity; nearest neighbor interpolation technique; time complexity; Approximation algorithms; Image reconstruction; Interpolation; Partitioning algorithms; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891646
Filename :
6891646
Link To Document :
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