[1] GUILLEMOT C, LE MEUR O. Image inpainting: overview and recent advances[J]. IEEE Signal Processing Magazine, 2014, 31(1): 127-144. [2] CHAN T, SHEN J. Local inpainting models and TV inpainting[J]. SIAM Journal on Applied Mathematics, 2001, 62(3): 1019-1043. [3] CHAN T F, SHEN J. Nontexture inpainting by curvature-driven diffusions[J]. Journal of Visual Communication and Image Representation, 2001, 12(4): 436-449. [4] RAM I, ELAD M, COHEN I. Image processing using smooth ordering of its patches[J]. IEEE Transactions on Image Processing, 2013, 22(7): 2764-2774. [5] WONG A, ORCHARD J. A nonlocal-means approach to exemplar-based inpainting[C]//ICIP 2008: Proceedings of the 15th IEEE International Conference on Image Processing. Piscataway, NJ: IEEE, 2008: 2600-2603. [6] CRIMINISI A, PEREZ P, TOYAMA K. Region filling and object removal by exemplar-based image inpainting[J]. IEEE Transactions on Image Processing, 2004, 13(9): 1200-1212. [7] SHEN B, HU W, ZHANG Y, et al. Image inpainting via sparse representation[C]//ICASSP 2009: Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. Washington, DC: IEEE Computer Society, 2009: 697-700. [8] LI Z, HE H, YIN Z, et al. A color-gradient patch sparsity based image inpainting algorithm with structure coherence and neighborhood consistency[J]. Signal Processing, 2014, 99(6): 116-128. [9] XU Z, SUN J. Image inpainting by patch propagation using patch sparsity[J]. IEEE Transactions on Image Processing, 2010, 19(5): 1153-1165. [10] MAIRAL J, BACH F, PONCE J, et al. Non-local sparse models for image restoration[C]//Proceedings of the 2009 IEEE 12th International Conference on Computer Vision. Piscataway, NJ: IEEE, 2009: 2272-2279. [11] ZHANG J, ZHAO D, GAO W. Group-based sparse representation for image restoration[J]. IEEE Transactions on Image Processing, 2014, 23(8): 3336-3351. [12] XU J, ZHANG L, ZUO W, et al. Patch group based nonlocal self-similarity prior learning for image denoising[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision. Piscataway, NJ: IEEE, 2015: 244-252. [13] WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. [14] GOLDSTEIN T, OSHER S. The split Bregman method for L1-regularized problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(2): 323-343. [15] JIN K H, YE J C. Annihilating filter-based low-rank Hankel matrix approach for image inpainting[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3498-3511. [16] AFONSO M V, SANCHES J M R. Blind inpainting using l0 and total variation regularization[J]. IEEE Transactions on Image Processing, 2015, 24(7): 2239-2253. |