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.
sea-thru-master.rar
预估大小:17个文件
sea-thru-master
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seathru.py
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.gitmodules
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images
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output.png
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input.png
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output-monodepth.png
130KB
requirements.txt
87B
.idea
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misc.xml
294B
14.42MB
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