张涛，教授，硕士生导师。主要从事图像复原反问题计算的研究。在国内外期刊上以第一作者或通讯作者发表论文14篇，其中SCI收录8篇。主持完成国家自然科学基金2项，参与研究国家自然科学基金1项。主持并完成安徽省自然科学基金1项。主持并完成教育部大学数学研究与发展中心项目1项。指导研究生7人。
研究领域
l 图像复原反问题计算
l 计算机视觉、机器学习
主讲课程
l 本科生：高等代数，离散数学，数学建模，线性代数，大数据建模，图像处理与计算机视觉
l 研究生：凸优化基础
基金项目
l 国家自然科学基金青年项目，61701004，Hardy空间和BMO空间混合范数组稀疏正则化及其在图像复原中的应用，2018/01-2020/12，已结题，主持。
l 国家自然科学基金天元基金项目，11326088，Hardy空间与BMO空间在图像正则化模型中的应用研究，2014/01-2014/12，已结题，主持。
l 安徽省自然科学基金青年项目，项目号：1708085QA15，基于Hardy和BMO空间的图像复原模型与算法研究，2017/07 - 2019/06，主持，已结题。
l 安徽省优秀青年人才支持计划（gxyq2021178），2021/03-2024/03，主持。
代表性论文
1. Zhang Tao*, Wu Di, Mo Xutao. The Rank Residual Constraint Model with Weighted Schatten p-Norm Minimization for Image Denoising, Circuits, Systems, and Signal Processing , 2023，42(8):4740–4758.
2. Wu Di, Zhang Tao*. Corrected rank residual constraint model for image denoising. IET Image Process. 2022;16:3659–3668.
3. Di Wu, Tao Zhang*, Xutao Mo. Group Sparsity Residual Constraint Image Denoising Model with l1/l2 Regularization, Wuhan University Journal of Natural Sciences, 2023, 28(01): 53-60.
4. Yifan Yang, Tao Zhang*, Di Wu, et al. An Image Denoising Model via the Reconciliation of the Sparsity and Low-Rankness of the Dictionary Domain Coefficients. Wuhan University Journal of Natural Sciences, 2023, 28(01):61-67.
5. Lu Lixuan; Zhang Tao Non-blind image deblurring method using shear high order total variation norm, Wuhan University Journal of Natural Sciences, 2021, 26(6): 495-506.
6. Zhao Yu; Zhang Tao An image denoising method based on group sparsity and low rank, Wuhan University Journal of Natural Sciences, 2021, 26(4): 349-357.
7. Zhang Tao; Gao Qiuli; Tan Gaoshan Texture Preserving Image Restoration with Dyadic Bounded Mean Oscillating Constraints. IEEE Signal Processing Letters, 22(3), 322-326, 2015.
8. Zhang Tao; Mo Xutao Image restoration models Based on Dyadic Hardy Space and Dyadic Bounded Mean Oscillation Space, IEEE Access, Vol. 7, 117282-117297, 2019.
9. Mo Xutao; Zhang Tao; Wang Bin; Huang Xianshan; Kuang Cuifang; Liu Xu . Alleviating image artifacts in wavefront coding extended depth of field imaging system，Optics Communications, 436, 232-238, 2019.
10. Zhang Tao; Wei Haiguang; Mo Xutao Image denoising method with tree-structured group sparse modeling of wavelet coefficients，Journal of Southeast University (English Edition), 35(3), 332-340, 2019.
11. Zhang Tao; Gao Qiuli ; One image denoizing model with local constraints on dyadic regions. Optical engineering,2012，51(7),077006.
12. Zhang Tao; Fan Qibin . Wavelet characterization of dyadic BMO norm and its application in image decomposition for distinguishing between texture and noise. International Journal of Wavelet, Multiresolution and Information processing，9(3), 445-457 , 2011.
13. Zhang Tao; Fan Qibin. Wavelet characterization of Hardy space and its application in variational image decomposition. International Journal of Wavelet, Multiresolution and Information Processing，8(1), 71-87. 2010.
14. Zhang, Tao; Fan, Qibin. An adaptive wavelet image denoising scheme based on local variance. Journal of Information and Computational Science, 10(9),2641-2649，2013,
