Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 214-216.doi: 10.11896/j.issn.1002-137X.2016.6A.051
Previous Articles Next Articles
MA Hong-hua, HUANG Yong-lin and DING Yan-yan
[1] Yao Min.Digital image process[M].Beijing:China Machine Press,2006:97-103 [2] Chan T F,Golub G,Mulet P.A nonlinear primal-dual method for total variation-based image restoration[J].SIAM J.Sci.Comp,1999,20:1964-1977 [3] You Y,Xu W,Tannenbaum A,et al.Behavioral Analysis of Anisotropic Diffusion in Image Processing[J].IEEE Trans on Ima-ge Process,1996,5(11):1539-1553 [4] Xie Mei-hua,Wang Zheng-ming.Image restoration based onedge-directed diffusion[J].Journal of Optoelectronics·Laser,2005,6(9):1107-1111 [5] Strong D M.Adaptive Total Variational Minimizing Image Restoration[D].Los Angeles:University of California,1997 [6] Fu Shui-jun,Ruan Qiu-qi,Wang Wen-qia.A Shock-diffusion Equation with Local Coupling Term for Image Sharpening[J].Journal of Optoelectronics·Laser,2007,8(2):245-248 [7] Wu Ji-ying,Ruan Qiu-qi.Helmholtz vorticity equation and third order PDE coupled image inpainting model[J].Journal of Optoelectronics·Laser,2008,9(8):1104-1107 [8] Blomgren P,Chan T F.Color TV:Total variation method forrestoration of vector valued image[J].IEEE,IP,1998,7(3):304-309 [9] Sochen N,Kimmel R,Malladi R.A general framework for low level vision[J].IEEE Trans.Image Processing,1998,31(7),310-318 [10] Sochen N,Zeevi Y Y.Representation of colored images by manifolds embedded in higher dimensional non-Euclisean space[C]∥Proc.IEEE ICIP’98.Chicago,1998 [11] Guy Gil-boa.Super-resolution Algorithms Based on Inverse Diffusion-type Processes[D].USA:University of California at Los Angeles,2004:55-62 [12] Rudin L,Osher S,Fatemi E.Nonlinear Total Variation basednoise removal algorithms[J].Physica D 60, 1992:259-268 [13] Rudin L,Osher S.Total Variation Based Image Restoration with Free Local Constraints[C]∥Proceedings of the First IEEE International Conference on Image Processing.Austin,Texas,USA:IEEE Press,1994 [14] You Y L,Kaveh M.Fourth-order partial differential equation for noise removal[J].IEEE Transactions on Image Processing,2000,9:1723-1730 [15] Zhang Yu-jing.Image Segmentation[M].Beijing:Science Press,2001:9-16 |
No related articles found! |
|