常化文
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发布部门:
计算机与人工智能学院
发布时间:
2026-03-26
浏览次数:
10
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| 姓 名 | 常化文 | 性 别 | 男 | 职 称 | 副教授 | 电 话 | 18703691230 | 电子邮件 | changhuawen@126.com | 通信地址 | 郑州市高新区科学大道136号 | 研究方向 | 计算机视觉 | 工作简历 | 2013/04-至今,郑州轻工业大学,计算机与人工智能学院 2007/07-2009/07,郑州大学西亚斯国际学院,电子信息工程学院 | 科研项目 | 项目名称:基于自然图像统计和视觉去冗余机制的彩色图像质量评价,国家自然科学基金项目,项目编号:61401404。主持 项目名称:彩色图像质量评价算法及系统研究,河南省高等学校重点科研项目,项目编号:15A520107。主持 项目名称:基于自然图像统计和流形学习的彩色图像质量感知模型,河南省科技攻关项目,项目编号:192102210136。主持
| 学术及科研成果 | Hua-wen Chang, Ming-hui Wang, "Sparse Correlation Coefficient for Objective Image Quality Assessment," Signal Processing: Image Communication, 26(10), 577-588, November 2011. Hua-wen Chang, Hua Yang, Yong Gan, and Ming-hui Wang, "Sparse Feature Fidelity for Perceptual Image Quality Assessment", IEEE Transactions on Image Processing, vol. 22, no. 10, pp. 4007-4018, October 2013. Jie Xu, Hua-wen Chang*, Shuo Yang and Ming-hui Wang, "Fast feature-based video stabilization without accumulative global motion estimation," in IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 993-999, August 2012. Hua-wen Chang, Ming-hui Wang, Shu-qing Chen et al., "Sparse feature fidelity for image quality assessment," in Proceedings of 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, pp. 1619-1622, November 2012.[Oral] Hua-wen Chang, Qiu-wen Zhang, Qing-gang Wu, and Yong Gan, "Perceptual Image Quality Assessment by Independent Feature Detector", Neurocomputing, vol. 151, pp. 1142-1152, March 2015. Hua-Wen Chang, Xiao-Dong Bi, and Chen Kai, "Blind Image Quality Assessment by Visual Neuron Matrix", IEEE Signal Processing Letters, vol. 28, pp. 1803-1807, August 2021. Hua-Wen Chang, Peng-Jie Wang, Cheng-Yang Du, Xiao-Dong Bi, Ming-Hui Wang , “FQA-Net: an efficient neural network for blind image quality assessment”, Journal of Electronic Imaging, Vol. 31, Issue 6, November 2022. Hua-Wen Chang, Cheng-Yang Du, Xiao-Dong Bi, Kai Chen, Ming-Hui Wang, “LG-IQA: Integration of local and global features for no-reference image quality assessment”, Displays, Volume 75, December 2022.
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