A New Image Interpolation Algorithm Based on Quasi Coons Surface Method

Author

Su, Benyue ; Sheng, Min ; Hu, Wanbao

Author_Institution

Sch. of Comput. & Inf., Anqing Teachers´´ Coll., Anqing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Traditional image interpolation methods always are introduced by piecewise-cubic kernel, which have been derived in ID with one parameter and applied to 2D images in a separable way. However, images typically are statistically nonseparable, and it motivates the construction of nonseparable cubic kernel function. This paper derives a new nonseparable cubic kernel based on the Coons-type surface method, then the efficiency of our method is compared with that of the traditional algorithm of cubic kernel for image resizing in Matlab 7. The experimental results show that our proposed algorithm excels the bicubic interpolation method in visual effect and complexity.

Keywords

image processing; interpolation; Coons-type surface method; image interpolation; nonseparable cubic kernel function; piecewise-cubic kernel; quasi Coons surface method; Convolution; Digital images; Educational institutions; Interpolation; Kernel; Mathematics; Partitioning algorithms; Pixel; Polynomials; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365513

Filename

5365513