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Beyond Night Visibility: Adaptive Multi-Scale Fusion of Infrared and Visible Images
March 5, 2024, 2:48 p.m. | Shufan Pei, Junhong Lin, Wenxi Liu, Tiesong Zhao, Chia-Wen Lin
cs.CV updates on arXiv.org arxiv.org
Abstract: In addition to low light, night images suffer degradation from light effects (e.g., glare, floodlight, etc). However, existing nighttime visibility enhancement methods generally focus on low-light regions, which neglects, or even amplifies the light effects. To address this issue, we propose an Adaptive Multi-scale Fusion network (AMFusion) with infrared and visible images, which designs fusion rules according to different illumination regions. First, we separately fuse spatial and semantic features from infrared and visible images, where …
abstract arxiv beyond cs.cv effects etc focus fusion images issue light low scale type visibility
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