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

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...

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Bibliographic Details
Published in:SID International Symposium Digest of technical papers 2023-06, Vol.54 (1), p.1715-1718
Main Authors: Ryu, Seungchul, Yoo, Hyunjin, Akhavan, Tara
Format: Article
Language:English
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Summary: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.
ISSN:0097-966X
2168-0159
DOI:10.1002/sdtp.16931