Dust Image Depth Prediction Based on Feature Sparsity
Purposes Aiming at the problem of low accuracy of single image depth prediction in dusty environment, a dust image depth prediction network based on sparse input features is proposed. Methods First, by using the relationship between the direct transmission rate of dust image and depth information, a...
Main Authors: | Huimin JIA, Yuanyu WANG |
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Format: | Article |
Language: | English |
Published: |
Editorial Office of Journal of Taiyuan University of Technology
2023-09-01
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Series: | Taiyuan Ligong Daxue xuebao |
Subjects: | |
Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-2117.html |
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