罗航，男，于2022年在武汉大学获得工学博士学位，现任版权所有：威廉希尔-英国威廉希尔公司-WilliamHill官网（网络空间安全学院）讲师，硕士导师。罗航博士的主要研究方向为图像信号处理链路中的颜色处理算法，致力于提升相机在复杂光照环境下的成像质量，具体包括计算颜色恒常性、图像增强、图像质量评价。目前，已在《The Visual Computer》、《IEEE Signal Processing Letters》、《Pattern Recognition Letters》等SCI期刊上发表学术论文8篇，并授权国家发明专利2项。
邮箱：hluo@wtu.edu.cn
1.主要研究方向：
颜色恒常性、图像增强、深度图像颜色处理、图像质量评价
2.论文与专利：
论文
1. Wu, Y., Luo, H., Liang, J.: Multi-Dimensional AI-Generated Image Quality Assessment via Joint Text Template and Multi-Granularity Similarity. Pattern Recognition Letters. (2026). https://doi.org/10.1016/j.patrec.2026.02.023
2. Luo, H., Li, R., Liang, J.: Enhancing multi-illuminant color constancy through multi-scale estimation and high-frequency preservation. Vis Comput. 42, 163 (2026)
3. Liang, J., Wu, W., Yang, K., Ma, J., Wang, J., Hu, X., Luo, H.: Optimized color transfer method for textile fabrics based on image statistical features. The Journal of The Textile Institute. 1–12 (2026). https://doi.org/10.1080/00405000.2026.2622214
4. Chen, Z., Huang, Z., Wang, C., Liu, X., Luo, H., Liu, Q.: Psychophysical Comparison of Distance Measures for Evaluating Color Constancy Algorithms. jist. 0, 1–14 (2026). https://doi.org/10.2352/J.ImagingSci.Technol.2026.70.3.030412
5. Luo, H., Liang, J., Yan, X.: Exposure correction by deep curve estimation. SIViP. 18, 813–820 (2023). https://doi.org/10.1007/s11760-023-02815-5
6. Luo, H., Li, R., Liang, J.: Multi-illuminant Color Constancy via Multi-scale Illuminant Estimation and Fusion, http://arxiv.org/abs/2502.02021, (2025)
7. Luo, H., Wan, X.: Estimating Polynomial Coefficients to Correct Improperly White-Balanced sRGB Images. IEEE Signal Processing Letters. 28, 1709–1713 (2021). https://doi.org/10.1109/LSP.2021.3102527
8. Luo, H., Wan, X., Liang, J.: Illuminant estimation using pixels spatially close to the illuminant in the rg-chromaticity space. Journal of Electronic Imaging. (2020). https://doi.org/10.1117/1.jei.29.5.053006
专利
1. 一种基于Transformer的图像颜色增强方法，专利号：ZL 2023 1 0019740.9
2. 一种基于深度曲线估计的图像曝光校正方法，专利号：ZL 2023 1 0367728.7