CLIP-AE: A Multi-modal Unsupervised Images Enhancement Method Based on High-order Adaptive Curve for Visual Disbalance Defects

This paper proposes the CLIP-AE method, combining CLIP models with adaptive curve enhancement techniques to achieve multi-modal unsupervised image enhancement, effectively addressing visual imbalance defects.

Keywords: Image Enhancement, Multimodal Learning, CLIP, Unsupervised Learning

Journal Ranking: CAS Q1, CCF B

Authors: Jiaqi Wu, Shihao Zhang, et al.

Recommended citation: Jiaqi Wu, Shihao Zhang, et al. (2024). "CLIP-AE: A Multi-modal Unsupervised Images Enhancement Method Based on High-order Adaptive Curve for Visual Disbalance Defects." IEEE Transactions on Multimedia. (CAS Q1, CCF B)