Landi G, Piccolomini E L. NPTool:a matlab software for nonnegative image restoration with Newton projection methods[J]. Numerical Algorithm, 2013, 62(3):487-504.
[2]
Li X C. Expectation maximization method for parameter estimation of image statistical model[J]. Journal of Image and Graphics, 2012, 17(6):619-629.[李旭超.图像统计模型参数估计中的期望最大值算法[J].中国图象图形学报, 2012, 17(6):619-629.] [DOI:10.11834/jig.20120602]
[3]
Alex S, Christoph B, Thomas K, et al. EM-TV methods for iverse problems with Poisson noise[J]. Level Set and PDE based reconstruction methods in imaging, 2013, 2090(8):71-142.
[4]
Beck A, Teboulle M. A fast dual proximal gradient algorithm for convex minimization and applications[J]. Operations Research Letters, 2014, 42(1):1-6.
[5]
Bonettini S, Ruggiero V. An alternating extragradient method for total variation based image restoration from Poisson data[J]. Inverse Problems, 2011, 27(9):1-28.
[6]
Hao Y, Xu J L. An effective dual method for multiplicative noise removal[J]. Journal of Visual Communication & Image Representation, 2014, 25(2):306-312.
[7]
Liu X W,Huang L H,Guo Z Y. Adaptive fourth order partial differential equation filter for image denoising[J]. Applied Mathematics Letters,2011,24(8):1282-1288.
[8]
Cai J F, Ji H, Liu C Q. Framelet-based blind motion deblurring from a single image[J]. IEEE Transactions on Image Processing, 2012, 21(2):562-572.
[9]
Chen X M, Wang H C, Wang R R. A null space analysis of the l1-synthesis method in dictionary-based compressed sensing[J]. Applied and Computational Harmonic Analysis, 2014, 37(3):492-515.
[10]
Cai J F, Dong B, Osher Stanley, et al. Image restoration:total variation, wavelet frames, and beyond[J]. Journal of the American Mathematical Society, 2012, 25(4):1033-1089.
[11]
Guo Z C, Liu Q, Sun J B, et al. Reaction-diffusion systems with p(x)-growth for image denoising[J]. Nonlinear Analysis:Real World Applications, 2011, 12(5):2904-2918.
[12]
Aubert G, Kornprobst P. Mathematical Problems in Image Processing, Partial Differential Equations and the Calculus of Variations[M]. New York, USA:Springer Verlag, 2006:1-371.
[13]
Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physical D:Nonlinear Phenomena, 1992, 60(1):259-268.
[14]
Boyd S,Vandenberghe L. Convex Optimization[M]. Cambridge, United Kingdom:Cambridge University Press, 2004:1-727.
[15]
Dinh Q T, Cevher V. A primal-dual algorithmic framework for constrained convex minimization[EB/OL].[2015-4-30]. http://arXiv. org/abs/1406.5403.
[16]
Bonettini S, Ruggiero V. On the convergence of primal-dual hybrid gradient algorithms for total variation image restoration[J]. Journal of Mathematical Imaging and Vision, 2012, 44(3):236-253.
[17]
Chambolle A. An algorithm for total variation minimization and applications[J]. Journal of Mathematical Imaging and Vision, 2004, 20(1):89-97.
[18]
Wang Z, Bovik A, Sheikh H, et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4):1-14.