Novel Image Interpolation Based on Multivariate Spline

摘要：

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.

关键词： image interpolation multivariate spline entropy variance

作者: Yuan-Yuan FAN Bin YANG

作者单位: Mathematics Department Chuzhou University Anhui Chuzhou, China Computer Science and Technology Department Chuzhou University Anhui Chuzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 37-39

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）