Share Email Print

Journal of Electronic Imaging

Fast pixel-size-based large-scale enlargement and reduction of image: adaptive combination of bilinear interpolation and discrete cosine transform
Author(s): Shu-Mei Guo; Chih-Yuan Hsu; Guo-Ching Shih; Chia-Wei Chen
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 1 July 2011
PDF: 16 pages
J. Electron. Imaging. 20(3) 033005 doi: 10.1117/1.3603937
Published in: Journal of Electronic Imaging Volume 20, Issue 3
Show Author Affiliations
Shu-Mei Guo, National Cheng Kung Univ. (Taiwan)
Chih-Yuan Hsu, National Cheng Kung Univ. (Taiwan)
Guo-Ching Shih, National Cheng Kung Univ. (Taiwan)
Chia-Wei Chen, Kao Yuan Univ. (Taiwan)

© SPIE. Terms of Use
Back to Top