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    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
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Underwater image restoration based on contrast enhancement

Author(s)
Liu, Hui  
Author(s)
Chau, L.-P.
Date Issued
2016
Publisher
IEEE
Related Publication(s)
2016 IEEE International Conference on Digital Signal Processing (DSP) Proceedings
Start page
584
End page
588
Abstract
Low contrast and color distortion are two major problems suffered by underwater images. In this work, a novel and systematic enhancement method based on contrast enhancement is proposed to restore the degraded underwater images. The proposed method mainly contains three steps. First, the quadtree subdivision strategy is adopted to estimate the waterlight. Then we formulate a cost function and minimize it so as to find the optimal transmission map which is able to maximize the image contrast. Once the waterlight and transmission map are obtained, based on the underwater image degradation model, the backscattering effect and color distortion caused by the light attenuation along the underwater object-camera path can be corrected. Finally, to further compensate for the color loss along the surface-object propagation path, a simple but effective color correction method is applied. Experimental results demonstrate that our proposed method can achieve comparable or even better results than some state-of-the-art approaches.
URI
https://repository.sfu.edu.hk/handle/sfu/4113
DOI
10.1109/ICDSP.2016.7868625
SFU Affiliated Publication
No
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