Research Article
Image Compression using DCT upon Various Quantization
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 137 - Issue 1 |
| Published: March 2016 |
| Authors: Wael M. Khedr, Mohammed Abdelrazek |
10.5120/ijca2016908648
|
Wael M. Khedr, Mohammed Abdelrazek . Image Compression using DCT upon Various Quantization. International Journal of Computer Applications. 137, 1 (March 2016), 11-13. DOI=10.5120/ijca2016908648
@article{ 10.5120/ijca2016908648,
author = { Wael M. Khedr,Mohammed Abdelrazek },
title = { Image Compression using DCT upon Various Quantization },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 137 },
number = { 1 },
pages = { 11-13 },
doi = { 10.5120/ijca2016908648 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Wael M. Khedr
%A Mohammed Abdelrazek
%T Image Compression using DCT upon Various Quantization%T
%J International Journal of Computer Applications
%V 137
%N 1
%P 11-13
%R 10.5120/ijca2016908648
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Discrete cosine transform (DCT) is a widely compression technique for converting an image into elementary frequency components. However, level of quality and compression is desired, scalar multiples of the JPEG standard quantization may be used. In this paper, DCT method was applied to compress image under various level of quality. Different quantization matrices of DCT’s coefficients are used to improve level of quality and compression ratio of JPEG image.
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