Region-level No-Reference Image Quality Assessment (NR-IQA) enables fine-grained quality assessment for user-specified regions, which is critical in applications, such as camera imaging, autonomous driving and image compression. While existing NR-IQA methods have achieved remarkable success in assessing full-image qual...
Ze-Wen Chen, Juan Wang, Wen Wang et al.· IEEE Transactions on Image P...· 0 citations
This work proposes a multiscale dual-domain collaborative-aware feature fusion network (MDCF-Net) for LR-HSI and HR-MSI fusion, and builds a dual-domain collaborative perception fusion module to resolve the issue of insufficient cross-scale information integration.
Shuai-Qi Liu, Huan-Ru Yue, Ze-Zheng Zhang et al.· IEEE Journal of Selected Top...· 0 citations
This paper proposes a scalable framework for image restoration and enhancement built upon the reinforcement learning (RL) paradigm, and confirms the model’s superior few-shot and zero-shot capabilities compared to existing methods, as well as its flexibility in addressing multiple competing objectives.
Juan Wang, Ke Zhang, Chun-Feng Yuan et al.· International Journal of Com...· 0 citations
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