This work is licensed under the Creative Commons Attribution 4.0 International License.
Ningli Luan, Cong. Jin Total Variational Image Denoising Model Based on Weighting Function [J]. Electronic Measurement Technology, 2018, 041(007):58–63.Ningli LuanCongJin Total Variational Image Denoising Model Based on Weighting Function [J]Electronic Measurement Technology20180410075863Search in Google Scholar
Kumar B, Halim A. A linear fourth-order PDE-based gray-scale image inpainting model[J]. Computational and Applied Mathematics, 2019, 38(1):-.KumarBHalimAA linear fourth-order PDE-based gray-scale image inpainting model[J]Computational and Applied Mathematics2019381Search in Google Scholar
F Tony, Chan Shen., Jianhong (Jackie)Shen, Luminitavese, et al. A Variational Partial Differential Equation Model for Image Processing (I)[J]. Mathematics Translin, 2004.TonyFShenChanShenJianhong (Jackie)LuminitaveseA Variational Partial Differential Equation Model for Image Processing (I)[J]Mathematics Translin2004Search in Google Scholar
Jing He, Xiaoqian You. Research on Parallel Image Enhancement Based on Total Variational Model. Microcomputer Information, 2008, 24(003):314–316.HeJingYouXiaoqianResearch on Parallel Image Enhancement Based on Total Variational ModelMicrocomputer Information200824003314316Search in Google Scholar
Shen J. A Stochastic-Variational Model for Soft Mumford-Shah Segmentation[J]. Int J Biomed Imaging, 2006(14):92329.ShenJA Stochastic-Variational Model for Soft Mumford-Shah Segmentation[J]Int J Biomed Imaging20061492329Search in Google Scholar
Shaomei Fang, Duanshan Huang, Zhong Chen. Mathematical problems in image processing [J]. Journal of Shaoguan University, 2005, 026(009):1–3.FangShaomeiHuangDuanshanChenZhongMathematical problems in image processing [J]Journal of Shaoguan University200502600913Search in Google Scholar
Wei W, Zhou B, D Połap, et al. A regional adaptive variational PDE model for computed tomography image reconstruction[J]. Pattern Recognition, 2019, 92:64–81.WeiWZhouBPołapDA regional adaptive variational PDE model for computed tomography image reconstruction[J]Pattern Recognition2019926481Search in Google Scholar
Barcelos C Z. A new stochastic variational PDE model for soft Mumford–Shah segmentation[J]. Journal of Mathematical Analysis & Applications, 2011, 384(1):104–114.BarcelosC ZA new stochastic variational PDE model for soft Mumford–Shah segmentation[J]Journal of Mathematical Analysis & Applications20113841104114Search in Google Scholar
Wu Y D, Sun Y, Zhang H Y, et al. Variational PDE based image restoration using neural network[J]. Iet Image Processing, 2007, 1(1):85–93.WuY DSunYZhangH YVariational PDE based image restoration using neural network[J]Iet Image Processing2007118593Search in Google Scholar