[1]DONOHO D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
[2]CANDS E J.Compressive sampling[EB/OL].[2017-10-20].http://statweb.stanford.edu/~candes/papers/Compressive Sampling.pdf.
[3]CANDES E J,WAKIN M B.An introduction to compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):21-30.
[4]DONOHO D L,TSAIG Y.Fast solution of L1-norm minimization problems when the solution may be sparse[J].IEEE Transactions on Information Theory,2008,54(11):4789-4812.
[5]DONOHO D L.For most large underdetermined systems of linear equations the minimal L1-norm Solution is also the sparsest solution[EB/OL].[2017-10-20].https://onlinelibrary.wiley.com/doi/abs/10.1002/cpa.20132.
[6]LI W,LIU F,JIAO L,et al.A group matching pursuit for image reconstruction[J].Image Communication,2016,49(C):47-62.
[7]ZHANG L,ZHOU W.Spectral gradient projection method for solving nonlinear monotone equations[J].Journal of Computational and Applied Mathematics,2017,196(2):478-484.
[8]RAUHUT H,SCHNEIDER R,STOJANAC .Low rank tensor recovery via iterative hard thresholding[J].Linear Algebra and Its Applications,2017,523:220-262.
[9]SELESNICK I.Total variation denoising via the moreau envelope[J].IEEE Signal Processing Letters,2017,24(2):216-220.
[10]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.
[11]ZHANG J,LIU S,XIONG R,et al.Improved total variation based image compressive sensing recovery by nonlocal regularization[C]//Proceedings of IEEE International Symposium on Circuits and Systems.Washington D.C.,USA:IEEE Press,2013:2836-2839.
[12]陈建,苏凯雄,杨秀芝,等.基于变分模型的块压缩感知重构算法[J].通信学报,2016,37(1):100-109.
[13]ZHANG X,BURGER M,BRESSON X,et al.Bregmanized nonlocal regularization for deconvolution and sparse reconstruction[J].SIAM Journal on Imaging Sciences,2010,3(3):253-276.
[14]DONG W,YANG X,SHI G.Compressive sensing via reweighted TV and nonlocal sparsity regularisation[J].Electronics Letters,2013,49(3):184-186.
[15]WARREN R E,OSHER S J.Hyperspectral unmixing by the alternating direction method of multipliers[J].Inverse Problems and Imaging,2017,9(3):917-933.
[16]XU S,ZHOU Y,XIANG H,et al.Remote sensing image denoising using patch grouping-based nonlocal means algorithm[J].IEEE Geoscience and Remote Sensing Letters,2017,14(12):2275-2279.
[17]李博,谢巍.基于自适应分数阶微积分的图像去噪与增强算法[J].系统工程与电子技术,2016,38(1):185-192.
[18]ATANGANA A,BALEANU D.New fractional derivatives with nonlocal and non-singular kernel:theory and application to heat transfer model[EB/OL].[2017-10-20].https://arxiv.org/ftp/arxiv/papers/1602/1602.03408.pdf.
[19]TAN J,XIONG J.A harnack inequality for fractional laplace equations with lower order terms[J].Discrete and Continuous Dynamical Systems,2011,31(3):975-983.
[20]RAFEIRO H,SAMKO S.Fractional integrals and derivatives:mapping properties[J].Fractional Calculus and Applied Analysis,2016,19(3):580-607.
[21]MA L,MOISAN L,YU J,et al.A stable method solving the total variation dictionary model with L∞ constraints[J].Inverse Problems and Imaging,2014,8(2):507-535.
[22]海涛,席志红.基于改进复扩散耦合非局部均值滤波器的图像放大[J].系统工程与电子技术,2016,38(5):1182-1188.
[23]张娜,刘辉,尚振宏,等.改进权重函数的非局部均值图像去噪算法[J].计算机工程,2016,42(12):254-261.
[24]XIAO Y,YANG J.A fast algorithm for total variation image reconstruction from random projections[J].Inverse Problems and Imaging,2017,6(3):547-563. |