Low Complexity Underwater Image Enhancement Based on Dark Channel Prior

Blurred underwater image is always an annoying problem in the oceanic engineering. In this paper, we propose an efficient and low complexity underwater image enhancement method based on dark channel prior. Our method employs the median filter instead of the soft matting procedure to estimate the dep...

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Main Authors: Hung-Yu Yang, Pei-Yin Chen, Chien-Chuan Huang, Ya-Zhu Zhuang, Yeu-Horng Shiau
Format: Conference Proceeding
Language:English
Subjects:
color correction
Complexity theory
Computer vision
Conferences
dark channel prior
Image color analysis
Image enhancement
Mathematical model
MATLAB
underwater image enhancement
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Pei-Yin Chen
Chien-Chuan Huang
Ya-Zhu Zhuang
Yeu-Horng Shiau
description Blurred underwater image is always an annoying problem in the oceanic engineering. In this paper, we propose an efficient and low complexity underwater image enhancement method based on dark channel prior. Our method employs the median filter instead of the soft matting procedure to estimate the depth map of image. Moreover, a color correction method is adopted to enhance the color contrast for underwater image. The experimental results show that the proposed approach can effectively enhance the underwater image and reduce the execution time. Besides, this method requires less computing resource and is well suitable for implementing on the surveillance and underwater navigation in real time.
doi_str_mv 10.1109/IBICA.2011.9
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects color correction
Complexity theory
Computer vision
Conferences
dark channel prior
Image color analysis
Image enhancement
Mathematical model
MATLAB
underwater image enhancement
title Low Complexity Underwater Image Enhancement Based on Dark Channel Prior
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