Publication

Statistics by Google Scholar Citations
Note: Only personal use of these materials is permitted. However, permission to reprint/republish these materials for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the publishers.

• Selected
• Papers
• Reports
• Softwares

---

Selected

---

Papers

2022

• Fang Li, Yamin Ru and Xiao-Guang Lv. Patch-based weighted SCAD prior for Rician noise removal. Journal of Scientific Computing 90(1):1-19, 2022.

• Ruizhi Hou, Fang Li and Guixu Zhang. Truncated residual based Plug-and-Play ADMM algorithm for MRI reconstruction. IEEE Transactions on Computational Imaging, vol. 8, pp. 96-108, 2022.

• Yamin Ru, Fang Li, Faming Fang, and Guixu Zhang. Patch-based weighted SCAD prior for compressive sensing. Information Sciences 592:137–155, 2022.

• Ruizhi Hou and Fang Li, IDPCNN: Iterative denoising and projecting CNN for MRI reconstruction. Journal of Computational and Applied Mathematics, 406, 113973. 2022.

• Deiliang Wei and Fang Li. Flexible parameter selection methods for Rician noise removal with convergence guarantee. International Journal of Computer Mathematics. 1-22, 2022.

• Xiao-Guang Lv, Fang Li, Jun Liu and Sheng-Tai Lu, A patch-based low-rank minimization approach for speckle noise reduction in ultrasound images, Advances in Applied Mathematics and Mechanics, 14: 155-180. 2022.

2021

• Fang Li and Yuanmin Zhu. Smoothing and Clustering Guided Image Decolorization. Image Analysis & Stereology, 40(1): 17-27, 2021.

• Ruizhi Hou and Fang Li. Error feedback denoising network. IET Image Processing, 15(7): 1508-1517, 2021.

• Yu, Jing, Fang Li and Xiaoguang Lv. Contrast preserving decolorization based on the weighted normalized L1 norm. Multimedia Tools and Applications, 80(21): 31753-31782, 2021.

• Xiao-Guang Lv, Jun Liu, Fang Li and Xuan-Liang Yao, Blind motion deconvolution for binary images, Journal of Computational and Applied Mathematics, 393, 113500, 2021.

2020

• Zhihao Gu, Fang Li, Faming Fang, and Guixu Zhang. A novel retinex-based fractional-order variational model for images with severely low light. IEEE Transactions on Image Processing, 29:3239–3253, 2020.

• Xiao-Guang Lv and Fang Li. An iterative decoupled method with weighted nuclear norm minimization for image restoration. International Journal of Computer Mathematics, 97(3):602–623, 2020.

• Liang Chen, Faming Fang, Shen Lei, Fang Li, and Guixu Zhang. Enhanced sparse model for blind deblurring. In European Conference on Computer Vision, pages 631–646. Springer, 2020.

• Jiaqian Li, Juncheng Li, Faming Fang, Fang Li, and Guixu Zhang. Luminance-aware pyramid network for low-light image enhancement. IEEE Transactions on Multimedia, 23: 3153–3165, 2020.

2019

• Zhihao Gu, Fang Li, and Xiao-Guang Lv. A detail preserving variational model for image retinex. Applied Mathematical Modelling, 68:643–661, 2019.

• Wei Wang, Fang Li, and Michael K Ng. Structural similarity-based nonlocal variational models for image restoration. IEEE Transactions on Image Processing, 28(9):4260–4272, 2019.

• Fang Li and Michael K Ng. Image colorization by using graph bi-Laplacian. Advances in Computational Mathematics, 45(3):1521–1549, 2019.

• Jiuning Chen and Fang Li. Denoising convolutional neural network with mask for salt and pepper noise. IET Image Processing, 13(13):2604–2613, 2019.

• Tingting Wang, Faming Fang , Fang Li and Guixu Zhang. High-Quality Bayesian Pansharpening. IEEE Transactions on Image Processing, 28(1):227-239,2019.

2018

• Fang Li, Xiaoguang Lv and Ziwei Deng. Regularized iterative Weiner filter method for blind image deconvolution. Journal of Computational and Applied Mathematics, 336:425-438, 2018.

• Xiaoguang Lv, Fang Li and Tieyong Zeng. Convex blind image deconvolution with inverse filtering. Inverse Problems, 34, 035003, 2018.

• Haibing Hu and Fang Li. Image colourisation by non-local total variation method in the CB and YIQ colour spaces. IET Image Processing, 12(5):620-628, 2018.

• Xiaoguang Lv and Fang Li. Binary image deblurring with automatic binary value estimation. Journal of Electronic Imaging ,27(3), 033043, 2018.

2017

• Fang Li and Xiaoguang Lv. A Decoupled method for image inpainting with patch-based low rank regularization. Applied Mathematics and Computation, 314:334-348, 2017.

• Congkun Chen, Yun Sheng, Fang Li, Guixu Zhang and Hassan Ugail. A PDE-based head visualization method with CT data. Computer Animation and Worlds, 28, e1683, 2017.

• Faming Fang, Fang Li, Tieyong Zeng. Reducing spatially varying out-of-focus blur from natural image. Inverse Problem and Imaging, 11(1):65-85, 2017.

• Fang Li, Jing Qin. Robust fuzzy local information and Lp-norm distance-based image segmentation method. IET Image and Processing,11(4):217-226, 2017.

2016

• Fang Li, Fang Faming, and Zhang Guixu. Unsupervised change detection in SAR images using curvelet and l1-norm based soft segmentation . International Journal of Remote Sensing, 37(4):3232-3254, 2016.

• Fang Li, Stanley Osher, Jing Qin, and Ming Yan. A multiphase image segmentation based on fuzzy membership functions and l1-norm fidelity. Journal of Scientific Computing, 82-106, 2016.

• Fang Li and Tieyong Zeng. A new algorithm framework for image inpainting in transform domain. SIAM Journal on Imaging Sciences, 9(1):24–51,2016.

• Fang Li and Tieyong Zeng. Variational image fusion with first and second-order gradient information. Journal of Computational Mathematics, 34(2):200–223, 2016.

2015

• Xiao-Guang Lv, Yong-Zhong Song, and Fang Li. An efficient nonconvex regularization for wavelet frame and total variation based image restoration. Journal of Computational and Applied Mathematics, 290:553–566,2015.

• Xiaomei Yang, Chaomin Shen, Fang Li, and Chunli Shen. A combination of the total variation filter and a fourth-order filter for image registration. Mathematical Problems in Engineering, 2015:1-16, 2015.

2014

• Fang Li and Tieyong Zeng. A universal variational framework for sparsity-based image inpainting. IEEE Transactions on Image Processing, 23(10), pp. 4242-4254, 2014.

• Fang Faming, Fang Li, and Tieyong Zeng. Single image dehazing and denoising: a fast variational approach. SIAM Journal on Imaging Sciences, 7(2):969-996, 2014.

• Zhengmeng Jin, Fang Li, and Michael K Ng. A variatonal approach for image decolorization by variance maximization. SIAM Journal on Imaging Sciences, 7(2):944-968, 2014.

• Fang Faming, Guixu Zhang, Fang Li, and Chaomin Shen. Framelet based pan-sharpening via a variational method. Neurocomputing, 129:362-377, 2014.

• Peixuan Zhang and Fang Li. A new adaptive weighted mean filter for removing salt-and-pepper noise. IEEE Signal Processing Letters, 21(10):1280-1283, 2014.

2013

• Faming Fang, Fang Li, Chaomin Shen, and Guixu Zhang. A variational approach for pan-sharpening. IEEE Transactions on Image Processing, 22(7), pp. 2822-2834, 2013.

• Faming Fang, Fang Li, Guixu Zhang, and Chaomin Shen. A variational method for multisource remote-sensing image fusion. International Journal of Remote Sensing, 34(7):2470-2486, 2013.

• Fang Li and Tieyong Zeng. Image restoration via tight frame regularization and local constraints. Journal of Scientific Computing, 57(2):349–371, 2013.

2012

• Fang Li and Ruihua Liu. Poisson noise removal with total variation regularization and local fidelity. Chinese Journal of Electronics, 21(2):304–8, 2012.

• Fang Li, Michael K Ng, and Robert J Plemmons. Coupled segmentation and denoising/deblurring models for hyperspectral material identification. Numerical Linear Algebra with Application, 19(1):153-173, 2012.

• Fang Li, Ling Pi, and Tieyong Zeng. Explicit coherence enhancing filter with spatial adaptive elliptical kernel. IEEE Signal Processing Letters, 19(9):555–558, 2012.

• Fang Li, Tieyong Zeng, and Guixu Zhang. Lagrangian multipliers and split Bregman methods for minimization problems constrained on Sn-1. Journal of Visual Communication and Image Representation, 23(7):1041–1050, 2012.

2011

• Fang Li, Zheng Bao, Ruihua Liu, and Guixu Zhang. Fast image inpainting and colorization by Chambolle’s dual method. Journal of Visual Communication and Image Representation, 22(6):529–542, 2011.

• Fang Li, Chaomin Shen, Ruihua Liu, and Jinsong Fan. A fast implementation algorithm of TV inpainting model based on operator splitting method. Computers & Electrical Engineering, 37(5):782–788, 2011.

2010

• Fang Li, Michael K Ng, Tieyong Zeng, and Chunli Shen. A multiphase image segmentation method based on fuzzy region competition. SIAM Journal on Imaging Sciences, 3(3):277-299, 2010.

• Fang Li, Zhibin Li, and Ling Pi. Variable exponent functionals in image restoration. Applied Mathematics and Computation, 216(3):870–882,2010.

• Fang Li and Michael K Ng. Kernel density estimation based multiphase fuzzy region competition method for texture image segmentation. Communications in Computational Physics, 8(3):623-641, 2010.

• Fang Li, Michael K Ng, and Chunming Li. Variational fuzzy mumfordshah model for image segmentation. SIAM Journal on Applied Mathematics, 70(7):2750–2770, 2010.

• Fang Li, Michael K Ng, and Chaomin Shen. Multiplicative noise removal with spatially varying regularization parameters. SIAM Journal on Imaging Sciences, 3(1):1–20, 2010.

• Fang Li and Chaomin Shen. A two-stage method for oil slick segmentation. International Journal of Remote Sensing, 31(15):4217–4226, 2010.

• Fang Li, Chaomin Shen, and Chunming Li. Multiphase soft segmentation with total variation and H1 regularization. Journal of Mathematical Imaging and Vision, 37(2):98–111, 2010.

2009

• Fang Li, Chaomin Shen, Chunli Shen, and Guixu Zhang. Variational denoising of partly textured images. Journal of Visual Communication and Image Representation, 20(4):293-300, 2009.

• Ling Pi, Yaxin Peng, Chunli Shen, and Fang Li. A modified Chan-Vese model and its theoretical proof. Journal of Mathematical Analysis and Applications, 351(2):627-634, 2009.

• Xiaoxia Guo, Fang Li, and Michael K Ng. A fast l1-TV algorithm for image restoration. SIAM Journal on Scientific Computing, 31(3):2322-2341, 2009.

• Haiyong Liao, Fang Li, and Michael K Ng. Selection of regularization parameter in total variation image restoration. Journal of the Optical Society of America A-Optics Image Science and Vision, 26(11):2311-2320, 2009.

2008 and Before

• Ruihua Liu and Fang Li. Robust remove noise using multiple degraded images. Chinese Journal of Electronics, 17(2):305-308, 2008. (LOST: send me a copy if you happen to have one)

• Fang Li, Chaomin Shen, JInsong Fan, and Chunli Shen. Image restoration combining a total variational filter and a fourth-order filter. Journal of Visual Communication and Image Representation, 18(4):322-330, 2007.

• Ling Pi, Chaomin Shen, Fang Li, and Jinsong Fan. A variational formulation for segmenting desired objects in color images. Image and Vision Computing, 25(9):1414-1421, 2007.

• Fang Li,, Chaomin Shen, and Ling Pi. A new diffusion-based variational model for image denoising and segmentation. Journal of Mathematical Imaging and Vision, 26(1-2):115-125, 2006.

• Chaomin Shen, Jinsong Fan, Ling Pi, and Fang Li. Delineating lakes and enclosed islands in satellite imagery by geodesic active contour model. International Journal of Remote Sensing, 27(23-24):5253-5268, 2006.

---

Reports

---

Softwares

---