Application of Image Compression Based on Discrete Cosine Transform

DOI

10.2991/lemcs-15.2015.269How to use a DOI?

Keywords

Data Compression; Image Compression; Discrete Cosine Transform; Joint Photography Experts Group Compression Encoding; Coding

Abstract

Image compression encoding is one of the key techniques in modern multimedia and communication field. DCT is one of the most widely used in image compression processing. It uses the symmetry of the Fourier transform and performs a folding operation on the boundary of the image. It transforms the image into even function form. DCT has been widely used in the areas such as image compression and other fields due to its good energy compaction property and fast computation. In recent years, DCT is one of the basic processing modules in a series of international standard of video coding. Especially, the DCT transform is used in the JPEG and the MPEG. This paper briefly introduces the concept and theory of DCT. The paper introduces the core of DCT coding, and uses the MATLAB language to achieve the DCT-based image compression

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongmei Zhang
AU  - Zhigao Zhang
AU  - Zhili Pei
PY  - 2015/07
DA  - 2015/07
TI  - Application of Image Compression Based on Discrete Cosine Transform
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1352
EP  - 1355
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.269
DO  - 10.2991/lemcs-15.2015.269
ID  - Zhang2015/07
ER  -