Underwater image de-scattering and classification by deep neural network
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- 作者：Yujie Lia ; liyujie@yzu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; yzyjli@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Huimin LubAuthor Vitae ; Jianru LicAuthor Vitae ; Xin LidAuthor Vitae ; Yun LiaAuthor Vitae ; Seiichi SerikawaeAuthor Vitae
- 关键词：Contrast enhancement ; Quality assessment ; Underwater imaging ; Ocean optics ; Deep neural network
- 刊名：Computers & Electrical Engineering
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：54
- 期：Complete
- 页码：68-77
- 全文大小：2167 K
文摘
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We have proposed a joint guidance image filter to refine the coarse transmission map that outperforms conventional methods.
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We have proposed a color correction method restores the scene color correctly. It fully considers illumination lighting and camera spectral characteristics.
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We have tested that the proposed method can be applied for preprocessing of deep learning-based classification and recognition architecture.
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We have investigated an underwater image quality assessment index Qu.