| Split Bregman method for the modified lot model in image denoising YF Yang, ZF Pang, BL Shi, ZG Wang Applied Mathematics and Computation 217 (12), 5392-5403, 2011 | 20 | 2011 |
| Fast algorithm for multiplicative noise removal B Shi, L Huang, ZF Pang Journal of Visual Communication and Image Representation 23 (1), 126-133, 2012 | 18 | 2012 |
| Alternating split Bregman method for the bilaterally constrained image deblurring problem B Shi, ZF Pang, J Wu Applied Mathematics and Computation 250, 402-414, 2015 | 14 | 2015 |
| Primal-dual method to smoothing TV-based model for image denoising Z Zhi, B Shi, Y Sun Journal of Algorithms & Computational Technology 10 (4), 235-243, 2016 | 11 | 2016 |
| Image segmentation based on the hybrid total variation model and the K-means clustering strategy B Shi, ZF Pang, J Xu arXiv preprint arXiv:1605.09116, 2016 | 9 | 2016 |
| Remove the salt and pepper noise based on the high order total variation and the nuclear norm regularization B Shi, F Gu, ZF Pang, Y Zeng Applied Mathematics and Computation 421, 126925, 2022 | 8 | 2022 |
| A projection method based on the splitting Bregman iteration for the image denoising B Shi, ZF Pang, YF Yang Journal of Applied Mathematics and Computing 39 (1), 533-550, 2012 | 7 | 2012 |
| Image decomposition based on the adaptive direction total variation and -norm regularization B Shi, G Meng, Z Zhao, ZF Pang Signal, Image and Video Processing 15 (1), 155-163, 2021 | 4 | 2021 |
| Image restoration based on the hybrid total-variation-type model B Shi, ZF Pang, YF Yang Abstract and Applied Analysis 2012, 2012 | 4 | 2012 |
| Intensity inhomogeneity image segmentation based on the gradient-based spaces and the prior constraint ZF Pang, J Yao, B Shi, H Zhu Applied Mathematical Modelling 119, 605-625, 2023 | 3 | 2023 |
| A new hybrid regularization scheme for removing salt and pepper noise L He, J Zhang, H Zhu, B Shi Computational and Applied Mathematics 41 (4), 173, 2022 | 3 | 2022 |
| A Projected Gradient Method for a High-order Model in Image Restoration Problems ZF Pang, B Shi, L Huang Appl. Math 6 (3), 515-524, 2012 | 3 | 2012 |
| ADAPTIVELY WEIGHTED DIFFERENCE MODEL OF ANISOTROPIC AND ISOTROPIC TOTAL VARIATION FOR IMAGE DENOISING. B SHI, M LI, Y LOU Journal of Nonlinear & Variational Analysis 7 (4), 2023 | 1 | 2023 |
| Image denoising based on the surface fitting strategy ZF Pang, B Shi International Journal of Numerical Analysis & Modeling 11 (1), 102-116, 2014 | 1 | 2014 |
| 基于全变分正则化的双侧约束图像去模糊问题 王鸿章， 史宝丽， 何泊 湘潭大学自然科学学报 36 (1), 105-109, 2014 | 1 | 2014 |
| 几类全变差型图像恢复模型研究 史宝丽 长沙: 湖南大学, 2012 | 1 | 2012 |
| 基于四阶偏微分方程的乘性噪声去除模型 史宝丽， 黄立宏 湖南大学学报: 自然科学版 38 (7), 83-86, 2011 | 1 | 2011 |
| 基于滤波器的局部自适应全变分图像去噪模型 史宝丽， 何泊， 王治国， 庞志峰 计算机工程与应用 52 (4), 158-162, 2016 | | 2016 |
| Image restoration based on the hybrid total-variation-type model YF Yang, B Shi, ZF Pang | | 2012 |
| 一类时滞细胞神经网络的全局指数稳定性 史宝丽， 黄立宏 南华大学学报: 自然科学版 21 (4), 52-56, 2007 | | 2007 |
