DocumentCode :
499091
Title :
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
Link To Document :
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