DocumentCode
530597
Title
Novel image interpolation based on multivariate spline
Author
Fan, Yuan-Yuan ; Yang, Bin
Author_Institution
Math. Dept., Chuzhou Univ., Chuzhou, China
Volume
5
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
37
Lastpage
39
Abstract
In this paper, we present an effective algorithm for image interpolation. Our algorithm first calculates basis function of multivariate spline, on this basis, builds an operator applied to image interpolation. Finally, by experiment our algorithm reconstructs different interval sampled images, and compares with bilinear interpolation and double cubic convolution interpolation methods respectively. The experimental results show that our algorithm can reconstruct high quality images.
Keywords
image reconstruction; interpolation; splines (mathematics); bilinear interpolation; double cubic convolution interpolation; image interpolation; interval sampled image reconstruction; multivariate spline; Biomedical imaging; Entropy; Photonics; entropy; image interpolation; multivariate spline; variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610054
Filename
5610054
Link To Document