Image enlargement based on grey interpolation model

Author

Hsieh, Cheng-Hsiung ; Hsiung, Kuan-Chieh ; Huang, Ren-hsien ; Chang, Fang-jung

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Wufong, Taiwan

Volume

5

fYear

2009

fDate

12-15 July 2009

Firstpage

2927

Lastpage

2932

Abstract

This paper proposes a one-dimensional grey interpolation scheme for image enlargement. This scheme is based on the grey interpolation (GI) model. The GI model is derived through the GM(1,1) model, the implicit GM(1,1) model and the grey data fitting model. In the GI model, a developing coefficient is estimated from available data and applied to find the interpolated value. Several examples are given to justify the proposed scheme. The results indicate that the proposed scheme for image enlargement has similar visual quality to those from popular two-dimensional interpolation schemes, the bilinear interpolation, the bicubic interpolation and the cubic spline interpolation.

Keywords

image processing; interpolation; splines (mathematics); 2D interpolation schemes; bicubic interpolation; bilinear interpolation; cubic spline interpolation; grey data fitting; grey interpolation model; image enlargement; visual quality; Chaos; Computer science; Cybernetics; Electronic mail; Image converters; Image resolution; Interpolation; Machine learning; Predictive models; Spline; GM(1,1) model; Grey data fitting model; Grey interpolation model; Grey model; Image enlargement;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212607

Filename

5212607