Dust Image Depth Prediction Based on Feature Sparsity

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...

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Bibliographic Details
Main Authors: Huimin JIA, Yuanyu WANG
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2023-09-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
dust image
sparse depth sample
depth prediction
color attenuation prior
residual network
sparse convolution
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2117.html

Internet

https://tyutjournal.tyut.edu.cn/englishpaper/show-2117.html

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