Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

A Dual-band Underwater Image Denoising and Enhancement Algorithm

Authors
Guoliang Yang, Fuyuan Peng, Kun Zhao
Corresponding Author
Guoliang Yang
Available Online August 2012.
DOI
10.2991/iccasm.2012.337How to use a DOI?
Keywords
Underwater image, Image enhancement, Mean shift
Abstract

In this paper, we proposed a dual-band underwater image denoising and enhancement algorithm, first the original image was decomposed into high-frequency part H and lowfrequency part L, and then H was filtered into F by mean shift algorithm which was improved by using the intermediate iteration results. A contrast enhancement method was proposed based on the haze imaging model and was applied on L and F. experiment results demonstrate the effectiveness of the proposed algorithm.

Copyright
© 2012, 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 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.337
ISSN
1951-6851
DOI
10.2991/iccasm.2012.337How to use a DOI?
Copyright
© 2012, 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  - Guoliang Yang
AU  - Fuyuan Peng
AU  - Kun Zhao
PY  - 2012/08
DA  - 2012/08
TI  - A Dual-band Underwater Image Denoising and Enhancement Algorithm
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1319
EP  - 1321
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.337
DO  - 10.2991/iccasm.2012.337
ID  - Yang2012/08
ER  -