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张涛

发布日期:2022-05-19 作者: 来源:bevitor伟德官网 点击:

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

图像复原反问题计算

计算机视觉、机器学习

 

主讲课程

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

研究生:凸优化基础

 

基金项目

国家自然科学基金青年项目61701004Hardy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。

国家自然科学基金天元基金项目,11326088Hardy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。

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。

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 , 202342(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 systemOptics Communications, 436, 232-238, 2019.  

10. Zhang Tao; Wei Haiguang; Mo Xutao Image denoising method with tree-structured group sparse modeling of wavelet coefficientsJournal 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,201251(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 processing9(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 Processing8(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),2641-26492013,