CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT Under Uneven Illumination

This paper proposes a CLIP-optimized multimodal image enhancement method combining ISP-CNN fusion technology to effectively address uneven illumination issues in coal mine Internet of Vehicles and Things (IoVT) scenarios.

Keywords: Image Enhancement, Multimodal Learning, CLIP, Coal Mine IoT

Journal Ranking: CAS Q1

Authors: Shuai Wang, Shihao Zhang, Jiaqi Wu* (Corresponding Author), et al.

Recommended citation: Shuai Wang, Shihao Zhang, Jiaqi Wu* (Corresponding Author), et al. (2024). "CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT Under Uneven Illumination." IEEE Internet of Things Journal. (CAS Q1, *Corresponding Author)