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Proceedings Paper

Underwater image dehazing and color correction algorithm based on scene depth estimation
Author(s): Dianjun Sun; Yu Shi; Xia Hua; Yayuan Feng; Hanyu Hong
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Paper Abstract

The problem of restoring images degraded by an underwater environment is challenging, in part because light traveling underwater suffers from two combined degradations, known as scattering and absorption, which leads to inaccurate transmittance estimation. In this work, we propose that underwater image dehazing and color correction algorithm based on scene depth estimation. Through scene depth estimation, we get accurate transmittance to achieve better dehazing effect. The experimental results show that our approach obtains good-quality images, with a visibility enhancement comparable or better than other recent methods. As for color recovery, We recovere among different images, regardless of the different water conditions. In this work we not only achieves the effect of underwater image dehazing, but also guarantees accuracy and timeliness of recovery results.

Paper Details

Date Published: 14 February 2020
PDF: 9 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143215 (14 February 2020); doi: 10.1117/12.2538400
Show Author Affiliations
Dianjun Sun, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Yu Shi, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Xia Hua, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Yayuan Feng, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Hanyu Hong, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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