Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

An Excellent Wavelet for Image and Video Compression

Authors
Qingyun Zou
Corresponding Author
Qingyun Zou
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.309How to use a DOI?
Keywords
Data compression;wavelet filters;wavelet transform;JPEG2000.
Abstract

A specific wavelet--W97 has studied systematically. It has shown that the W 97 has good mathematical properties, and its lifting coefficients are very suitable for software and ASIC implementation. Lots of experiments have shown W97 precedes CDF97 on compression performance , and W 97's computation complexity is obviously lower than CDF97's. So, W 97 is an excellent wavelet for image and video compression technique.

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.309How 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

TY  - CONF
AU  - Qingyun Zou
PY  - 2017/04
DA  - 2017/04
TI  - An Excellent Wavelet for Image and Video Compression
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1587
EP  - 1590
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.309
DO  - 10.2991/fmsmt-17.2017.309
ID  - Zou2017/04
ER  -