Title :
Novel image interpolation based on multivariate spline
Author :
Fan, Yuan-Yuan ; Yang, Bin
Author_Institution :
Math. Dept., Chuzhou Univ., Chuzhou, China
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;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610054
