[3] M. Bertalmío, G. Sapiro, V. Caselles et al.. Image inpainting[J]. Proceedings of SIGGRAPH 2000, New Orleans, USA, July, 2000, 417~424
[4] T. F. Chan, J. Shen. Nontexture inpainting by curvaturedriven diffusion[J]. Journal of Visual Communication and Image Representation, 2001, 12(4): 436~449
[6] L. Rudin, S. Osher, E. Fatemi. Nonlinear total variation based noise removel algorithms[J]. Physica D, 1992, 69: 259~268
[7] T. F. Chan, S. H. Kang, J. H. Shen. Euler′s elastica and curvature based inpainting[J]. SIAM Journal of Applied Mathematics, 2002, 63(2): 564~592
[8] A. Tsai, A. Yezzi Jr, A. S. Willsky. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation and magnification[J]. IEEE Transactions on Image Processing, 2001, 10(8): 1169~1186
[9] S. Esedoglu, J. H. Shen. Digital inpainting based on the Mumford-Shah-Euler image model[J]. European Journal on Applied Mathematics, 2002, 13(4): 353~370
[10] Zhang Hongying, Peng Qicong. A survey on digital image inpainting[J]. A Journal of Image and Graphics, 2007, 12(1): 1~10
[12] Wim Sweldens. Wavelet, signal compression and image processing[C]. ACM SICCRAPH94, 1994
[13] Li Min, Feng Xiangchu. A denoising model using the total variation and wavelet method[J]. Journal of Xidian University, 2006, 33(6): 980~984
[14] L. Zhang, P. Bao, Q. Pan. Threshold analysis in wavelet-based denoising[J]. Electron. Lett., 2001, 37(24): 1485~1486
[15] Chan Tony, Shen Jianhong, Zhou Haomin. Total variation wavelet inpainting[J]. Journal of Mathematical Imaging and Vision, 2006, 25(19): 107~125
[16] X. Zhang,T. F. Chan.Wavelet inpainting by nonlocal total variation[J]. Inverse Problems and Imaging, 2010, 2(4): 191~210
[17] L. Rudin, S. Osher, E. Fatemi. Nonlinear total variation based noise removel algorithms[J]. Physica D, 1992, 69: 259~268