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Image Compression using DCT upon Various Quantization

by Wael M. Khedr, Mohammed Abdelrazek
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 1
Year of Publication: 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 },
issue_date = { March 2016 },
volume = { 137 },
number = { 1 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number1/24238-2016908648/ },
doi = { 10.5120/ijca2016908648 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:10.240082+05:30
%A Wael M. Khedr
%A Mohammed Abdelrazek
%T Image Compression using DCT upon Various Quantization
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 1
%P 11-13
%D 2016
%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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

DCT Image compression Quantization and PSNR

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