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ORCIDZhi-Feng Pang
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2020 – today
- 2023
[j18]Zhi-Feng Pang
, Zhenyan Guan, Yue Li, Ke Chen, Hong Ge:
Image Segmentation Based on the Hybrid Bias Field Correction. Appl. Math. Comput. 452: 128050 (2023)- [j17]Zhi-Feng Pang, Lin-Lin Fan, Haohui Zhu:
A novel dual-based ADMM to the Chan-Vese model. Multim. Tools Appl. 82(26): 40149-40166 (2023) - [j16]Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu:
Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Process. 205: 108881 (2023) - 2022
- [j15]Baoli Shi, Fang Gu, Zhi-Feng Pang, Yuhua Zeng:
Remove the salt and pepper noise based on the high order total variation and the nuclear norm regularization. Appl. Math. Comput. 421: 126925 (2022) - [j14]Jiyun Chen, Xijun Zhang, Jianjun Yuan, Renjie Shao, Conggui Gan, Qiang Ji, Wei Luo, Zhi-Feng Pang, Haohui Zhu:
Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. BMC Bioinform. 23(1): 163 (2022) - [j13]Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Zhi-Feng Pang:
Nonlocal Patch-Based Fully Connected Tensor Network Decomposition for Multispectral Image Inpainting. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j12]Jing Wang, Zhe Xu, Zhi-Feng Pang, Zhanqiang Huo, Junwei Luo:
Tumor detection for whole slide image of liver based on patch-based convolutional neural network. Multim. Tools Appl. 80(11): 17429-17440 (2021) - [j11]Bao-Li Shi, Ge Meng, Zhenjiang Zhao, Zhi-Feng Pang:
Image decomposition based on the adaptive direction total variation and $\mathbb {G}$-norm regularization. Signal Image Video Process. 15(1): 155-163 (2021) - [i2]Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Zhi-Feng Pang:
Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting. CoRR abs/2109.05889 (2021) - 2020
- [j10]Zhi-Feng Pang, Ge Meng, Hui Li, Ke Chen:
Image restoration via the adaptive TVp regularization. Comput. Math. Appl. 80(5): 569-587 (2020) - [j9]Zhi-Feng Pang, Hui-Li Zhang, Shousheng Luo, Tieyong Zeng:
Image denoising based on the adaptive weighted TVp regularization. Signal Process. 167 (2020)
2010 – 2019
- 2019
- [j8]Zhi-Feng Pang, Ya-Mei Zhou, Tingting Wu, Ding-Jie Li:
Image denoising via a new anisotropic total-variation-based model. Signal Process. Image Commun. 74: 140-152 (2019) - 2018
- [j7]Zhi-Feng Pang, Li-Zhen Guo, Yuping Duan, Jian Lu:
Image restoration based on the minimized surface regularization. Comput. Math. Appl. 76(8): 1893-1905 (2018) - 2017
- [j6]Xiaole Zhang, Yuying Shi, Zhi-Feng Pang, Yonggui Zhu:
Fast algorithm for image denoising with different boundary conditions. J. Frankl. Inst. 354(11): 4595-4614 (2017) - [c1]Lu Liu, Zhi-Feng Pang, Yuping Duan:
A novel variational model for retinex in presence of severe noises. ICIP 2017: 3490-3494 - 2016
- [i1]Bao-Li Shi, Zhi-Feng Pang, Jing Xu:
Image segmentation based on the hybrid total variation model and the K-means clustering strategy. CoRR abs/1605.09116 (2016) - 2015
- [j5]Bao-Li Shi, Zhi-Feng Pang, Jun Wu:
Alternating split Bregman method for the bilaterally constrained image deblurring problem. Appl. Math. Comput. 250: 402-414 (2015) - 2012
- [j4]Bao-Li Shi, Lihong Huang, Zhi-Feng Pang:
Fast algorithm for multiplicative noise removal. J. Vis. Commun. Image Represent. 23(1): 126-133 (2012) - 2011
- [j3]Yu-Fei Yang, Zhi-Feng Pang, Bao-Li Shi, Zhiguo Wang:
Split Bregman method for the modified lot model in image denoising. Appl. Math. Comput. 217(12): 5392-5403 (2011) - [j2]Zhi-Feng Pang, Yu-Fei Yang:
A projected gradient algorithm based on the augmented Lagrangian strategy for image restoration and texture extraction. Image Vis. Comput. 29(2-3): 117-126 (2011) - 2010
- [j1]Zhi-Feng Pang, Yu-Fei Yang:
A two-step model for image denoising using a duality strategy and surface fitting. J. Comput. Appl. Math. 235(1): 82-90 (2010)
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