| A new adaptive weighted mean filter for removing salt-and-pepper noise P Zhang, F Li IEEE signal processing letters 21 (10), 1280-1283, 2014 | 259 | 2014 |
| Image restoration combining a total variational filter and a fourth-order filter F Li, C Shen, J Fan, C Shen Journal of Visual Communication and Image Representation 18 (4), 322-330, 2007 | 230 | 2007 |
| Variable exponent functionals in image restoration F Li, Z Li, L Pi Applied Mathematics and Computation 216 (3), 870-882, 2010 | 166 | 2010 |
| A variational approach for pan-sharpening F Fang, F Li, C Shen, G Zhang IEEE Transactions on Image Processing 22 (7), 2822-2834, 2013 | 146 | 2013 |
| A multiphase image segmentation method based on fuzzy region competition F Li, MK Ng, TY Zeng, C Shen SIAM Journal on Imaging Sciences 3 (3), 277-299, 2010 | 136 | 2010 |
| Luminance-aware pyramid network for low-light image enhancement J Li, J Li, F Fang, F Li, G Zhang IEEE Transactions on Multimedia, 2020 | 105 | 2020 |
| Selection of regularization parameter in total variation image restoration H Liao, F Li, MK Ng JOSA A 26 (11), 2311-2320, 2009 | 103 | 2009 |
| A novel retinex-based fractional-order variational model for images with severely low light Z Gu, F Li, F Fang, G Zhang IEEE Transactions on Image Processing 29, 3239-3253, 2019 | 90 | 2019 |
| High-quality Bayesian pansharpening T Wang, F Fang, F Li, G Zhang IEEE Transactions on Image Processing 28 (1), 227-239, 2018 | 90 | 2018 |
| A Fast 1-TV Algorithm for Image Restoration X Guo, F Li, MK Ng SIAM Journal on Scientific Computing 31 (3), 2322-2341, 2009 | 83 | 2009 |
| Multiplicative noise removal with spatially varying regularization parameters F Li, MK Ng, C Shen SIAM Journal on Imaging Sciences 3 (1), 1-20, 2010 | 71 | 2010 |
| Single image dehazing and denoising: A fast variational approach F Fang, F Li, T Zeng SIAM Journal on Imaging Sciences 7 (2), 969-996, 2014 | 65 | 2014 |
| Coupled segmentation and denoising/deblurring models for hyperspectral material identification F Li, MK Ng, RJ Plemmons Numerical Linear Algebra with Applications 19 (1), 153-173, 2012 | 58 | 2012 |
| A universal variational framework for sparsity-based image inpainting F Li, T Zeng IEEE Transactions on Image Processing 23 (10), 4242-4254, 2014 | 48 | 2014 |
| Multiphase soft segmentation with total variation and H 1 regularization F Li, C Shen, C Li Journal of Mathematical Imaging and Vision 37 (2), 98-111, 2010 | 44 | 2010 |
| A variational formulation for segmenting desired objects in color images L Pi, C Shen, F Li, J Fan Image and Vision Computing 25 (9), 1414-1421, 2007 | 36 | 2007 |
| Kernel density estimation based multiphase fuzzy region competition method for texture image segmentation F Li, MK Ng Communications in Computational Physics 8 (3), 623, 2010 | 34 | 2010 |
| Variational fuzzy Mumford–Shah model for image segmentation F Li, MK Ng, C Li SIAM Journal on Applied Mathematics 70 (7), 2750-2770, 2010 | 32 | 2010 |
| Image segmentation with simultaneous illumination and reflectance estimation: An energy minimization approach C Li, F Li, CY Kao, C Xu 2009 ieee 12th international conference on computer vision, 702-708, 2009 | 32 | 2009 |
| An efficient nonconvex regularization for wavelet frame and total variation based image restoration XG Lv, YZ Song, F Li Journal of computational and applied mathematics 290, 553-566, 2015 | 30 | 2015 |
Chaomin ShenDept of Computer Science, East China Normal University在 cs.ecnu.edu.cn 的电子邮件经过验证
