Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

<Previous Article In Volume
Next Article In Volume>

Image De-noising Based on Mixed-domain Algorithm

Authors
Ting Yan, Liejun Wang, Jiaxing Wang
Corresponding Author
Ting Yan
Available Online January 2014.
DOI
10.2991/ccit-14.2014.24How to use a DOI?
Keywords
image de-noising, improved fuzzy-shrink algorithm, mixed-domain, visual effects
Abstract

Aiming at images contain a large number of gaussian noise, edge blur etc, the paper proposes an improved fuzzy-shrink de-noising algorithm, which is in a mixed-domain. The results show that the algorithm not only have optimal de-noising effect, and also the processed image is closer to the original image on the visual effects.

Copyright
© 2014, 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 2014 International Conference on Computer, Communications and Information Technology
Series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
10.2991/ccit-14.2014.24
ISSN
1951-6851
DOI
10.2991/ccit-14.2014.24How to use a DOI?
Copyright
© 2014, 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  - Ting Yan
AU  - Liejun Wang
AU  - Jiaxing Wang
PY  - 2014/01
DA  - 2014/01
TI  - Image De-noising Based on Mixed-domain Algorithm
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 84
EP  - 87
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.24
DO  - 10.2991/ccit-14.2014.24
ID  - Yan2014/01
ER  -