从2005年便开始致力于图像处理研究，主要研究方向为图像质量评价、稀疏表示理论、视觉计算理论和图像融合。目前主持国家自然科学基金项目一项，教育厅项目一项，已在SCI、EI及国内核心刊物上共发表论文20余篇。其中，有一项研究成果发表在图像领域的顶级刊物IEEE Transactions on Image Processing（CCF推荐的A类刊物）；另有一项研究成果被邀请在模式识别顶级会议（International Conference on Pattern Recognition, ICPR）上做口头报告。此外，还曾受到韩国计算机视觉领域著名学者Kyoung Mu Lee的邀请担任了第21届国际模式识别大会Medical and Bio-inspired Image Processing分会的Session Chair。曾担任过IEEE Transactions on Cybernetics，IEEE Signal processing letters，Information Fusion等杂志的审稿人。
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 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, 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. Hua-wen Chang, Ming-hui Wang, "Sparse correlation coefficient for objective image quality assessment," Signal Processing: Image Communication, 26(10), 577-588, 2011 |
