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Journal of Electronic Imaging

Underwater image enhancement by dehazing and color correction
Author(s): Chongyi Li; Jichang Guo
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Paper Abstract

Poor visibility due to the effects of light absorption and scattering is challenging for processing underwater images. We propose an approach based on dehazing and color correction algorithms for underwater image enhancement. First, a simple dehazing algorithm is applied to remove the effects of haze in the underwater image. Second, color compensation, histogram equalization, saturation, and intensity stretching are used to improve contrast, brightness, color, and visibility of the underwater image. Furthermore, bilateral filtering is utilized to address the problem of the noise caused by the physical properties of the medium and the histogram equalization algorithm. In order to evaluate the performance of the proposed approach, we compared our results with six existing methods using the subjective technique, objective technique, and color cast tests. The results show that the proposed approach outperforms the six existing methods. The enhanced images, as a result of implementing the proposed approach, are characterized by relatively genuine color, increased contrast and brightness, reduced noise level, and better visibility.

Paper Details

Date Published: 22 June 2015
PDF: 10 pages
J. Electron. Imag. 24(3) 033023 doi: 10.1117/1.JEI.24.3.033023
Published in: Journal of Electronic Imaging Volume 24, Issue 3
Show Author Affiliations
Chongyi Li, Tianjin Univ. (China)
Jichang Guo, Tianjin Univ. (China)

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