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P‐17: All Weather‐Robust Image Quality Enhancement based on Image Feature Fusion and Multiscale Degradation Profile.

Authors :
Ryu, Seungchul
Yoo, Hyunjin
Akhavan, Tara
Source :
SID Symposium Digest of Technical Papers; Jun2023, Vol. 54 Issue 1, p1715-1718, 4p
Publication Year :
2023

Abstract

Severe weather conditions often induce degraded camera output images in automotive applications, which decreases the visibility of drivers. In order to address this problem, this paper proposes a multi‐scale degradation profile‐based image enhancement framework. The proposed framework is composed of a feature fusion module, a multi‐scale degradation profile module, and an image enhancement module. The qualitative evaluation, ablation study, and quantitative evaluation proved the advantages and practicability of the proposed framework. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0097966X
Volume :
54
Issue :
1
Database :
Complementary Index
Journal :
SID Symposium Digest of Technical Papers
Publication Type :
Academic Journal
Accession number :
171105621
Full Text :
https://doi.org/10.1002/sdtp.16931