題名: An Image Zooming Technique Based on Vector Quantization Approximation 作者: Chang, C. C.;Chou, Y. C.;Yu, Y. H.;Shih, K. J
關鍵詞: Image zooming;Image magnification;Vector quantization 日期: 2005-11
上傳時間: 2009-12-17T06:58:29Z 出版者: Asia University
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.
