Jingjie Wang and Wei Wang*, Curvature-guided cartoon-texture decomposition of a color image, Journal of Computational and Applied Mathematics, Volume 476, 117075, April 2026.

Wei Wang*, Jingjie Wang and Michael Ng, Curvature-guided color image restoration by saturation-value total variation, Journal of Mathematical Imaging and Vision, vol. 67, pp. 1-26, 2025.

Wei Wang*, Chengyun Yang, and Qifan Song, An adaptive algorithm for L1-fidelity color image restoration, Journal of Computational Mathematics.

Wei Wang* and Yuming Yang, A hue-preserving color image restoration model using saturation-value total variation, CSIAM Transactions on Applied Mathematics.

Wei Wang* and Jingjie Wang, A variational model for cartoon-texture decomposition of a color image, Journal of Computational and Applied Mathematics, vol. 449, 115932, 15 October 2024.

Wei Wang* and Chengyun Yang, Total variations for hue, saturation, and value of a color image, CSIAM Transactions on Applied Mathematics, vol. 5, pp. 551-589, 2024.

Wei Wang* and Yuming Yang, A color image fusion model by saturation-value total variation, Journal of Computational and Applied Mathematics, vol. 446, 115832, 15 August 2024.

Wei Wang* and Yuming Yang, A histogram equalization model for color image contrast enhancement, Signal, Image and Video Processing, vol. 18, no. 2, pp. 1725-1732, 2024.

Wei Wang* and Ruofan Liu, A saturation-value histogram equalization model for color image enhancement, Inverse Problems and Imaging, vol. 17, no. 4, pp. 746-766, 2023.

Wei Wang* and Qifan Song, Color image restoration based on saturation-value total variation plus L1 fidelity, Inverse Problems, vol. 38, no. 8, 085009, 2022. 

Wei Wang*, Yuming Yang, and Michael K. Ng, A spatial color compensation model using saturation-value total variation, SIAM Journal on Imaging Sciences, vol. 15, no. 3, pp. 1400-1430, 2022.

Wei Wang* and Ruofan Liu, A variational model for simultaneously image denoising and luminance adjustment, CSIAM Transactions on Applied Mathematics, vol. 3, pp. 428-447, 2022.

Wei Wang* and Caifei Li, A variational saturation-value model for image decomposition: illumination and reflectance, Inverse Problems and Imaging, vol. 16, no. 3, pp. 547-567, June 2022.

Wei Wang*, Caifei Li, and Michael K. Ng, A saturation-component based fuzzy Mumford-Shah model for color image segmentation, CSIAM Transactions on Applied Mathematics, Volume 2, Issue 4, pp. 724-747, 2021.

Wei Wang* and Michael K. Ng, Dictionary-based inverse filtering methods for blind image deconvolution, Applied Mathematical Modelling, vol. 96, pp. 269-283, 2021.

Wei Wang* and Michael K. Ng, Color image restoration by saturation-value total variation regularization on vector bundles, SIAM Journal on Imaging Sciences, vol. 14, no. 1, pp. 178-197, 2021.

Wei Wang*, Mingjia Yao, and Michael K. Ng, Color image multiplicative noise and blur removal by saturation-value total variation, Applied Mathematical Modelling, vol. 90, 240-264, 2021.

Wei Wang, Ling Pi, and Michael K. Ng, Saturation-value total variation model for chromatic aberration correction, Inverse Problems and Imaging, vol. 14, no. 4, pp. 733-755, 2020.

Wei Wang*, Caixia Zhang, and Michael K. Ng, Variational model for simultaneously image denoising and contrast enhancement, Optics Express, vol. 28, no. 13, pp. 18751-18777, 2020.

Wei Wang*, Fang Li, and Michael K. Ng, Structural similarity based nonlocal variational models for image restoration, IEEE Transactions on Image Processing, vol. 28, issue 9, pp. 4260-4272, 2019.

Wei Wang, Na Sun, and Michael Ng, A variational gamma correction model for image contrast enhancement, Inverse Problems and Imaging,  vol. 13, no. 3, pp. 461-478, 2019.

Zhigang Jia, Michael Ng and Wei Wang*, Color image restoration by saturation-value (SV) total variation, SIAM Journal on Imaging Sciences, vol. 12, no. 2, pp. 972-1000, 2019.

Michael K. Ng, Wei Wang*, and Xile Zhao, A variational approach for restoring images corrupted by noisy blur kernels and additive noise, Numerical Linear Algebra with Applications, vol. 24, no. 6, e2100, 2017.

Wei Zhu, Wei Wang, Zhaodong Huang, Estimating train choices of rail transit passengers with real timetable and automatic fare collection data, Journal of Advanced transportation, 2017.

Ling Pi, Wei Wang, and Michael Ng, A spatially variant total variational model for chromatic aberration correction, Journal of Visual Communication and Image Representation, vol. 41, pp. 296-304, 2016.

W. Wang* and M. Ng, Convex regularized inverse filtering methods for blind image deconvolution, Signal, Image and Video Processing, vol. 10, no. 7, pp. 1353-1360, 2016.

W. Wang*, C. Chen and M. Ng, An image pixel based variational model for histogram equalization, Journal of Visual Communication and Image Representation, vol. 34, pp. 118-134, 2016.

Wei Wang*, Xile Zhao and Michael K. Ng, A cartoon-plus-texture image decomposition model for blind deconvolution, Multidimensional Systems and Signal Processing, vol. 27, no. 2, pp. 541-562, 2016.

Huibin Chang, Michael Ng, Wei Wang, and Tieyong Zeng, Retinex image enhancement via a learned dictionary, Optical Engineering, vol. 54, no. 1, 013107, 2015.

Wei Wang and Michael K. Ng, A nonlocal total variation model for image decomposition: illumination and reflectance, Numerical Mathematics: Theory, Methods and Applications, vol. 7, pp. 334-355, 2014.

M. Qiao, W. Wang, and M. Ng, Multiphase texture segmentation using Gabor features histograms based on Wasserstein distance, Communications in Computational Physics, vol. 15, pp. 1480-1500, 2014.

Xi-Le Zhao, Wei Wang, Tie-Yong Zeng, Ting-Zhu Huang, and Michael K. Ng, Total variation structured total least squares method for image restoration, SIAM Journal on Scientific Computing, vol. 35, pp. 94-121, 2013.

Motong Qiao, Wei Wang, and Michael K. Ng, A variational method for expanding the bit-depth of low contrast image, 9th Intl. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 54-65, Aug 2013.

Wei Wang and Michael K. Ng, A variational histogram equalization method for image contrast enhancement, SIAM Journal on Imaging Sciences, vol. 6, no. 3, pp. 1823-1849, 2013.

Wei Wang and Michael K. Ng, A variational approach for image stitching I, SIAM Journal on Imaging Sciences, vol. 6, no. 3, pp. 1318-1344, 2013.

Michael K. Ng and Wei Wang*, A variational approach for image stitching II: using image gradients, SIAM Journal on Imaging Sciences, vol. 6, no. 3, pp. 1345-1366, 2013.

Wei Wang and Michael K. Ng, A variational method for multiple image blending, IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1809-1822, 2012.

Wei Wang and Michael K. Ng, On algorithms for automatic motion deblurring from a single image, Journal of Computational Mathematics, vol. 30, pp. 80-100, 2012.

Michael K. Ng and Wei Wang, A total variation model for retinex, SIAM Journal on Imaging Sciences, vol. 4, no. 1, pp. 345-365, 2011.

Wei Wang* and Ling Pi, A variational approach for image segmentation using tensor voting, Chinese Journal of Electronics, vol. 19, no. 2, pp. 261-264, 2010.

Hualin Luo, Wei Wang, Ling Pi, and Guixu Zhang, A variational approach for bias correction and boundary delineation of SAR image with intensity inhomogeneity, The 2nd International Congress on Image and Signal Processing, 2010.

Wei Wang*, Chengyun Yang, and Yuming Yang, Color image denoising by deep CNN prior and saturation-value total variation, preprint.

Yuming Yang and Wei Wang*, A variational multi-scale model for multi-exposure image fusion, preprint.

Wei Wang* and Chengyun Yang, Color image segmentation based on hue-saturation similarity, preprint.

Wei Wang* and Yakun Li, Color image restoration by nonlocal saturation-value similarity, preprint.