Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Contrast Enhancement and Optimization for Underwater Images

Authors
B. Zhang, W.N. Huang, Z.J. Fang, X.F. Lv, Z.X. Xie
Corresponding Author
B. Zhang
Available Online March 2013.
DOI
10.2991/iccsee.2013.232How to use a DOI?
Keywords
Underwater Image, Scattering, Absorption, Beam Hardening, Image Optimization
Abstract

A new view about underwater imaging was proposed in this paper that water self still is an imaging object, and a new synthetic model about underwater image was also presented, that is, the resulting image is a synthetic image made from the images of underwater object and water self. Seeing that the present situation which the visual quality of the resulting image made by current restoration methods about underwater image is not satisfied, a new restoration method about underwater image, that is a systematic method called removing water-compensating attenuation–optimization, was proposed,. The results demonstrated that here proposed method is better than some of other methods.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.232
ISSN
1951-6851
DOI
10.2991/iccsee.2013.232How to use a DOI?
Copyright
© 2013, 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  - B. Zhang
AU  - W.N. Huang
AU  - Z.J. Fang
AU  - X.F. Lv
AU  - Z.X. Xie
PY  - 2013/03
DA  - 2013/03
TI  - Contrast Enhancement and Optimization for Underwater Images
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 921
EP  - 924
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.232
DO  - 10.2991/iccsee.2013.232
ID  - Zhang2013/03
ER  -