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/).
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 -