An image zooming technique based on vector quantization approximation

被引:33
作者
Chang, CC
Chou, YC
Yu, YH
Shih, KJ
机构
[1] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
[2] So Taiwan Univ Technol, Dept Multimedia & Game Sci, Tainan 710, Taiwan
[3] Natl Chung Cheng Univ, Dept Comp Sci & Informat Engn, Chiayi 621, Taiwan
关键词
image zooming; image magnification; vector quantization;
D O I
10.1016/j.imavis.2005.07.020
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An image zooming method based on vector quantization approximation for magnifying gray-scale and color image by a factor of 2 is proposed. In our proposed method, the unknown pixel values on the image are interpolated by using a vector quantization codebook based on their local information. In comparison of our method with the locally adaptive zooming algorithm published in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805-812.], our experimental results have demonstrated that the image quality of the enlarged image is superior to the method in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805-812.]. Not only is our method simpler to implement by utilizing a table look-up technique on codebook, but also is much easier in translating to color images than that of [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805-812.] by replacing an adequate codebook. (C) 2005 Elsevier Ltd All rights reserved.
引用
收藏
页码:1214 / 1225
页数:12
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