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

Shu-Mei Guo; Chih-Yuan Hsu; Guo-Ching Shih; Chia-Wei Chen

doi:10.1117/1.3603937

1 July 2011 Fast pixel-size-based large-scale enlargement and reduction of image: adaptive combination of bilinear interpolation and discrete cosine transform

Shu-Mei Guo, Chih-Yuan Hsu, Guo-Ching Shih, Chia-Wei Chen

Author Affiliations +

Journal of Electronic Imaging, Vol. 20, Issue 3, 033005 (July 2011). https://doi.org/10.1117/1.3603937

Abstract

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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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," Journal of Electronic Imaging 20(3), 033005 (1 July 2011). https://doi.org/10.1117/1.3603937

Published: 1 July 2011

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