A CLASS OF IMAGE INTERPOLATION METHOD BASED ON ALGEBRAIC TRIGONOMETRIC BLENDING SPLINE

被引：0

作者：

Su, Benyue ^{[1
]}

Sheng, Min ^{[1
]}

Zhu, Gongqin ^{[1
]}

Hu, Wanbao ^{[1
]}

机构：

[1] Anqing Teachers Coll, Sch Comp & Informat, Anqing, Peoples R China

来源：

PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3 | 2008年

关键词：

Bezier-type interpolation spline; Computational complexity; Cubic interpolation spline; Image zooming; Kernel function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A fast algorithm for image interpolation is presented based on algebraic trigonometric blending interpolation spline. The objective of the proposed approach is to recover up sampled image frames from the corresponding low-resolution image frames. It is a more accurate and fast approximation for the ideal interpolation in spatial domain or frequency domain than by other linear polynomial interpolation kernel functions. Simulation results are also presented to demonstrate the effectiveness of the proposed method.

引用

下载

页码：1020 / 1026

页数：7

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