Image reconstruction by convolution with piecewise linear polynomal kernel

Author

Lin, Chung-chi ; Liaw, Chishyan ; Sheu, Ming-hwa

Author_Institution

Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan

fYear

2009

fDate

8-10 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

A superior interpolation technique does not cause interpolated images distortion, nor does need complex computation. This paper presents a novel convolution interpolation for digital image reconstruction. The kernel of the piecewise linear convolution interpolation is built up of piecewise linear polynomial and approximates the ideal sinc-function in interval. The approach reduces the computational complexity of interpolation and the simulation results indicate that the interpolation quality is better than cubic convolution interpolations mostly.

Keywords

computational complexity; convolution; image reconstruction; interpolation; piecewise linear techniques; piecewise polynomial techniques; complex computation; computational complexity; cubic convolution interpolations; digital image reconstruction; ideal sinc-function; interpolated images distortion; interpolation quality; interpolation technique; piecewise linear convolution interpolation; piecewise linear polynomial kernel; Computational complexity; Convolution; Digital images; Image reconstruction; Interpolation; Kernel; Linear approximation; Piecewise linear approximation; Piecewise linear techniques; Polynomials; convolution interpolation; image reconstruction; scaling;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Conference_Location

Macau

Print_ISBN

978-1-4244-4656-8

Electronic_ISBN

978-1-4244-4657-5

Type

conf

DOI

10.1109/ICICS.2009.5397474

Filename

5397474