Proceedings of the 2015 International Symposium on Computers & Informatics

Comparison and analysis of the compression algorithm based on DCT and DWT warehousing image

Authors
Jian Guo, Xianwei Lv
Corresponding Author
Jian Guo
Available Online January 2015.
DOI
10.2991/isci-15.2015.27How to use a DOI?
Keywords
Warehousing image; discrete cosine transform; discrete wavelet transform; image compression
Abstract

In order to ensure safe operation of the storage system, Warehousing environment for real-time monitoring of effective security is very important. Due to the huge amount of image data warehouse monitoring system acquisition, image acquisition of the warehouse for effective compression become hot. This paper describes the discrete cosine transform (DCT) and discrete wavelet transform (DWT) of the realization of the principle and its implementation process, And the use of technology tools based on these algorithms for storage image compression and reduction, Then compared and analyzed based on the experimental results, To further enhance storage safety monitoring system provides the foundation.

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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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.27
ISSN
2352-538X
DOI
10.2991/isci-15.2015.27How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Jian Guo
AU  - Xianwei Lv
PY  - 2015/01
DA  - 2015/01
TI  - Comparison and analysis of the compression algorithm based on DCT and DWT warehousing image
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 181
EP  - 189
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.27
DO  - 10.2991/isci-15.2015.27
ID  - Guo2015/01
ER  -