An image zooming technique based on vector quantization approximation

Authors:
Chin-Chen Chang;Yung-Chen Chou;Yuan-Hui Yu;Kai-Jung Shih
Affiliations:
Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 621, Taiwan, ROC;Department of Multimedia and Game Science, Southern Taiwan University of Technology, Tainan 710, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 621, Taiwan, ROC
Venue:
Image and Vision Computing
Year:
2005

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Abstract

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.