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