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Fast pixel-size-based large-scale enlargement and reduction of image: adaptive combination of bilinear interpolation and discrete cosine transform

[+] Author Affiliations
Shu-Mei Guo, Chih-Yuan Hsu, Guo-Ching Shih

National Cheng-Kung University, Department of Computer Science and Information Engineering, No. 1, Ta-Hsueh Road, Tainan, Taiwan 701 Taiwan

Chia-Wei Chen

Kao Yuan University, Mechanical and Automation Engineering, Kaoshiung, Taiwan 821 Taiwan

J. Electron. Imaging. 20(3), 033005 (August 12, 2011). doi:10.1117/1.3603937
History: Received November 05, 2010; Revised April 13, 2011; Accepted June 03, 2011; Published August 12, 2011; Online August 12, 2011
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A fast pixel-size-based very large-scale enlargement and reduction of image via an adaptive combination of bilinear interpolation and discrete cosine transform (DCT) is proposed to improve the quality and speed of the image zooming process. The proposed algorithm combined with DCT and bilinear interpolation is proposed to adaptively process different blocks of an image with different characteristics for a very large-scale image enlargement and reduction. Moreover, if quality is the main concern factor, the evolutionary programming is applied to further improve the quality of reduction algorithm of an image by tuning the frequency coefficient matrix of the reduced image. Finally, for dealing with arbitrary pixel-size-based zooming of an image, a new algorithm is also proposed.

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Citation

Shu-Mei Guo ; Chih-Yuan Hsu ; Guo-Ching Shih and Chia-Wei Chen
"Fast pixel-size-based large-scale enlargement and reduction of image: adaptive combination of bilinear interpolation and discrete cosine transform", J. Electron. Imaging. 20(3), 033005 (August 12, 2011). ; http://dx.doi.org/10.1117/1.3603937


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