[1]
|
Xiong X S, Zhao H, Tang C J. Image inpainting used in specific target replacement. In: Proceedings of the 2008 IEEE International Conference on Information and Automation. Changsha, China: IEEE, 2008. 354-356
|
[2]
|
Tauber Z, Li Z N, Drew M S. Review and preview: disocclusion by inpainting for image-based rendering. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2007, 37(4): 527-540
|
[3]
|
Wighton P, Lee T K, Atkins M S. Dermascopic hair disocclusion using inpainting. In: Proceedings of the 2008 International Society for Optics and Photonics. San Diego, CA, USA: SPIE, 2008. 691427-1-8
|
[4]
|
Ma M Y, Au O C, Chan S H G, Sun M T. Edge-directed error concealment. IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(3): 382-395
|
[5]
|
Lakshman H, Ndjiki-Nya P, Koppel M, Doshkov D, Wiegand T. An automatic structure-aware image extrapolation applied to error concealment. In: Proceedings of the 16th IEEE International Conference on Image Processing. Cairo, Egypt: IEEE, 2009. 913-916
|
[6]
|
Wu G L, Chen C Y, Chien S Y. Algorithm and architecture design of image inpainting engine for video error concealment applications. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(6): 792-803
|
[7]
|
Chan T F, Shen J H, Zhou H M. Total variation wavelet inpainting. Journal of Mathematical Imaging and Vision, 2006, 25(1): 107-125
|
[8]
|
Sakurai M, Kiriyama S, Goto T, Hirano S. Fast algorithm for total variation minimization. In: Proceedings of the 18th IEEE International Conference on Image Processing. Brussels, Belgium: IEEE, 2011. 1461-1464
|
[9]
|
Li S L, Wang H Q. Image inpainting using curvature-driven diffusions based on p-Laplace operator. In: Proceedings of the 4th International Conference on Innovative Computing, Information and Control. Kaohsiung, Taiwan, China: IEEE, 2009. 323-325
|
[10]
|
Zhang H Y, Peng Q C, Wu Y D. Wavelet inpainting based on p-Laplace operator. Acta Automatica Sinica, 2007, 33(5): 546-549
|
[11]
|
Yau A C, Tai X C, Ng M K. L0-norm and total variation for wavelet inpainting. In: Proceedings of the 2nd International Conference on Scale Space and Variational Methods in Computer Vision. Voss, Norway: Springer, 2009. 539-551
|
[12]
|
Hadji M L, Maouni M, Nouri F Z. A wavelet inpainting by a Tixotrop model. In: Proceedings of the 14th International conference on information visualization. London, United Kingdom: IEEE, 2010. 559-563
|
[13]
|
Zhang X Q, Chan T F. Wavelet inpainting by nonlocal total variation. Inverse Problems and Imaging, 2010, 4(1): 191- 210
|
[14]
|
Brox T, Weickert J, Burgeth B, Mrázek P. Nonlinear structure tensors. Image and Vision Computing, 2006, 24(1): 41- 55
|
[15]
|
Yoo H, Kim B, Sohn K. Coherence enhancing diffusion filtering based on connected component analysis structure tensor. In: Proceedings of the 6th IEEE Conference on Industrial Electronics and Applications. Beijing, China: IEEE, 2011. 271-274
|
[16]
|
Hahn J, Lee C O. A nonlinear structure tensor with the diffusivity matrix composed of the image gradient. Journal of Mathematical Imaging and Vision, 2009, 34(2): 137-151
|
[17]
|
Wang Y K, Lu B B, Miao C L. Image fusion based on nonlinear structure tensor. In: Proceedings of the 2011 International Conference on Multimedia Technology. Hangzhou, China: IEEE, 2011. 6390-6393
|
[18]
|
Gao C Q, Tian J W, Wang P. Generalised-structure-tensor-based infrared small target detection. Electronics Letters, 2008, 44(23): 1349-1351
|
[19]
|
Rane S D, Sapiro G, Bertalmio M. Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Transactions on Image Processing, 2003, 12(3): 296-303
|
[20]
|
Chan R H, Wen Y W, Yip A M. A fast optimization transfer algorithm for image inpainting in wavelet domains. IEEE Transactions on Image Processing, 2009, 18(7): 1467-1476
|
[21]
|
Zhang Wen-Juan, Feng Xiang-Chu, Wang Xu-Dong. Mumford-Shah model based on weighted total generalized variation. Acta Automatica Sinica, 2012, 38(12): 1913-1922 (in Chinese)
|