Enhancing Underwater Image Quality via Monocular Depth Estimation

This paper explores the application of monocular depth estimation techniques for enhancing the quality of underwater images, specifically within the context of the Sea-Thru framework. The research investigates the effectiveness of incorporating depth information derived from a single image to improve the clarity and detail of underwater scenes.

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sea-thru-master.rar 预估大小:17个文件
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sea-thru-master 文件夹
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seathru.py 24KB
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.gitmodules 103B
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output.png 160KB
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input.png 144KB
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output-monodepth.png 130KB
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requirements.txt 87B
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misc.xml 294B
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sea-thru-master.iml 408B
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LICENSE 1KB
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README.md 2KB
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report.pdf 14.02MB
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refs.bib 937B
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seathru-mono-e2e.py 5KB
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report.tex 21KB
rar 文件大小:14.42MB