Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

<Previous Article In Volume
Next Article In Volume>

Lifting Scheme Combined with SPIHT Color Image Compression Algorithm

Authors
Xinwen Bi
Corresponding Author
Xinwen Bi
Available Online April 2017.
DOI
10.2991/emim-17.2017.181How to use a DOI?
Keywords
MRCT; SPIHT; Lossless Compression
Abstract

The embedded zero tree wavelet coding algorithm in wavelet transform domain is the efficient image compression coding algorithm, the wavelet transform coefficients according to their order of importance to, realize the progressive image coding, based on aggregation and S transform and MRCT transform in the lossless compression algorithm for image, through the simulation experiment, the JP2 respectively, RAR, ZIP, PNG, TGA, PCX, TIF lossless compression results improved an average of 2%, 15%, 51%, 51%, 34%, 52%, 31%.

Copyright
© 2017, 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/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.181
ISSN
2352-538X
DOI
10.2991/emim-17.2017.181How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Xinwen Bi
PY  - 2017/04
DA  - 2017/04
TI  - Lifting Scheme Combined with SPIHT Color Image Compression Algorithm
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 912
EP  - 916
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.181
DO  - 10.2991/emim-17.2017.181
ID  - Bi2017/04
ER  -