YANG Fenlin,GUO Erdong. Image Denoising Problem Based on the TV model and L2-Model[J]. Journal of Jishou University(Natural Sciences Edition), DOI: 10.3969/j.cnki.jdxb.2016.03.009.
[1] RUDIN L,OSHER S,FATEMI E.Nonlinear Total Variation Based Noise Removal Algorithms[J].Physical Review D,1992,60(1-4):259-268.
[2] FANG Faming LI Fang,ZHANG Guixu,et al.A Variational Method for Multisource Remote-Sensing Image Fusion[J].International Journal of Remote Sensing,2013,34(7):2 470-2 486.
[3] CHAMBOLLE A,LIONS P L.Image Recovery Via Total Variation Minimization and Related Problems[J].Numerische Mathematic,1997,76(2):167-188.
[4] MARQUINA A,OSHER S.Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal[J].SIAM Journal on Scientific Computing,2000,22(2):387-405.
[5] LYSAKER M,OSHER S,TAI Xuecheng.Noise Removal Using Smoothed Normals and Surface Fitting[J].IEEE Transactions on Image Processing,2004,13(10):1 345-1 357.
[6] OSHER S,BURGER M,GOLDFARB D,et al.An Iterative Regularization Method for Total Variation-Based Image Restoration[J].SIAM Journal on Multiscale Modeling and Simulation,2005,4(2):460-489.
[7] SAVAGE J,CHEN K.On Multigrids for Solving a Class of Improved Total Variation Based Staircasing Reduction Models[J].Mathematics and Visualization,2006,82:69-94.
[8] TIKHONOV A N,ARSENIN V Y.Solutions of Ill-Posed Problems[M].Washington D C:Wiston and Sons,1977.