Nonlinear total variation based noise removal algorithms
Tài liệu tham khảo
Frieden, 1972, Restoring with maximum likelihood and maximum entropy, J. Opt. Soc. Am., 62, 511, 10.1364/JOSA.62.000511
Phillips, 1962, A technique for the numerical solution of certain integral equations of the first kind, J. ACM, 9, 84, 10.1145/321105.321114
Twomey, 1963, On the numerical solution of Fredholm integral equations of the first kind by the inversion of the linear system produced by quadrature, J. ACM, 10, 97, 10.1145/321150.321157
Twomey, 1965, The application of numerical filtering to the solution of integral equations encountered in indirect sensing measurements, J. Franklin Inst., 297, 95, 10.1016/0016-0032(65)90209-7
Hunt, 1973, The application of constrained least squares estimation to image restoration by digital computer, IEEE Trans. Comput., 22, 805, 10.1109/TC.1973.5009169
Rudin, 1987, Images, numerical analysis of singularities and shock filters, Caltech., C.S. Dept. Report #TR:5250:87
Osher, 1990, Feature oriented image enhancement using shock filters, SIAM J. Num. Anal., 27, 919, 10.1137/0727053
Alvarez, 1992, Image selective smoothing and edge detection by nonlinear diffusion, SIAM J. Num. Anal., 29, 845, 10.1137/0729052
Osher, 1985, Fronts propagating with curvature dependent speed: Algorithms based on a Hamilton-Jacobi formulation, J. Comput. Phys., 79, 12, 10.1016/0021-9991(88)90002-2
Geman, 1990
E. Fatemi, S. Osher and L.I. Rudin, Removing noise without excessive blurring, Cognitech Report #5, (12/ 89), delivered to DARPA US Army Missile Command under contract #DAAH01-89-C-0768.
L.I. Rudin and S. Osher, Reconstruction and enhancement of signals using non-linear non-oscillatory variational methods, Cognitech Report #7 (3/90), delivered to DARPA US Army Missile Command under contract #DAAH01-89-C-0768.
Dodge, 1987
Rosen, 1961, The gradient projection method for nonlinear programming, Part II, nonlinear constraints, J. Soc. Indust. Appl. Math., 9, 514, 10.1137/0109044