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.
| Original language | English |
|---|---|
| Article number | 033005 |
| Journal | Journal of Electronic Imaging |
| Volume | 20 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2011 Jul 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
}
Fast pixel-size-based large-scale enlargement and reduction of image : Adaptive combination of bilinear interpolation and discrete cosine transform. / Guo, Shu-Mei; Hsu, Chih Yuan; Shih, Guo Ching; Chen, Chia Wei.
In: Journal of Electronic Imaging, Vol. 20, No. 3, 033005, 01.07.2011.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fast pixel-size-based large-scale enlargement and reduction of image
T2 - Adaptive combination of bilinear interpolation and discrete cosine transform
AU - Guo, Shu-Mei
AU - Hsu, Chih Yuan
AU - Shih, Guo Ching
AU - Chen, Chia Wei
PY - 2011/7/1
Y1 - 2011/7/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80055026906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055026906&partnerID=8YFLogxK
U2 - 10.1117/1.3603937
DO - 10.1117/1.3603937
M3 - Article
VL - 20
JO - Journal of Electronic Imaging
JF - Journal of Electronic Imaging
SN - 1017-9909
IS - 3
M1 - 033005
ER -