[1] [1] Candes E J, Romberg J. Quantiative robust uncertainty principles and optimally sparse decompositions[J]. Foundations of Computational Mathematics, 2006, 6(2): 227-254.

[2] [2] Donoho D L. Compressed sensing[J]. Information Theory, IEEE Transactions on, 2006, 52(4): 1289-1306.

[3] [3] Ruan Tao, Na Yan, Wang Shu. Remote sensing image fusion based on compressed sensing[J]. Electronic Science and Technology, 2012, 25(4): 43-46.

[4] [4] Wu Jianrong, Shen Xia, Yu Hong, et al.. Snapshot compressive imaging by phase modulation[J]. Acta Optica Sinica, 2014, 34(10): 1011005.

[5] [5] Weng Jiawen, Qin Yi, Yang Chuping, et al.. Reconstruction of single low-coherence digital hologram by compressive sensing[J]. Laser and Optoelectronics Progress, 2015, 52(10): 100901.

[6] [6] Tang Chaoying, Chen Yueting, Li Qi, et al.. Motion detection and image restoration based on video reconstruction from a single coded exposure photograph[J]. Acta Optica Sinica, 2015, 35(4): 0410002.

[7] [7] Candes E J, Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies[J]. Information Theory, IEEE Transactions on, 2006, 52(12): 5406-5425.

[8] [8] Tan Shiyu, Liu Zhentao, Li Enrong, et al.. Hyperspectral compressed sensing based on prior images constrained[J]. Acta Optica Sinica, 2015, 35(8): 0811003.

[9] [9] Aharon M, Elad M, Bruckstein A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation[J]. Signal Processing, IEEE Transactions on, 2006, 54(11): 4311-4322.

[10] [10] Buades A, Coll B, Morel J M. A non-local algorithm for image denoising[C]. Computer Vision and Pattern Recognition, Computer Society Conference on. IEEE, 2005, 2: 60-65.

[11] [11] Dong W, Shi G, Li X. Nonlocal image restoration with bilateral variance estimation: A low-rank approach[J]. Image Processing, IEEE Transactions on, 2013, 22(2): 700-711.

[12] [12] Candes E J, Romberg J K, Tao T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on pure and applied mathematics, 2006, 59(8): 1207-1223.

[13] [13] Chambolle A. An algorithm for total variation minimization and applications[J]. Journal of Mathematical Imaging and Vision, 2004, 20(1-2): 89-97.

[14] [14] Dabov K, Foi A, Katkovnik V, et al.. Image restoration by sparse 3D transform-domain collaborative filtering[C]. Electronic Imaging, International Society for Optics and Photonics, 2008: 681207.

[15] [15] Wang Z, Bovik A C, Sheikh H R, et al.. Image quality assessment: From error visibility to structural similarity[J]. Image Processing, IEEE Transactions on, 2004, 13(4): 600-612.

[16] [16] Candes E J, Recht B. Exact matrix completion via convex optimization[J]. Foundations of Computational Mathematics, 2009, 9(6): 717-772.

[17] [17] Cai J F, Candes E J, Shen Z. A singular value thresholding algorithm for matrix completion[J]. SIAM Journal on Optimization, 2010, 20(4): 1956-1982.

[18] [18] Goldstein T, Osher S. The split bregman method for l1-regularized problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(2): 323-343.

[19] [19] Chen Baolin. Optimization theory and algorithm[M]. Second edition. Beijing: Tsinghua University Press, 2005: 294-306.

[20] [20] Verbanck M, Josse J, Husson F. Regularised PCA to denoise and visualise data[J]. Statistics and Computing, 2013, 25(2): 471-486.

[21] [21] Li C, Yin W, Jiang H, et al.. An efficient augmented lagrangian method with applications to total variation minimization[J]. Computational Optimization and Applications, 2013, 56(3): 507-530.

[22] [22] Egiazarian K, Foi A, Katkovnik V. Compressed sensing image reconstruction via recursive spatially adaptive filtering[C]. Image Processing, International Conference on. IEEE, 2007: 549-552.

[23] [23] Zhang J, Liu S, Xiong R, et al.. Improved total variation based image compressive sensing recovery by nonlocal regularization[C]. Circuits and Systems, International Symposium on. IEEE, 2013: 2836-2839.