[
[1] R. Aboulaich, D. Meskine, A. Souissi, New diffusion models in image processing, Comput. Math. Appl, 56 (2008), 874–882.10.1016/j.camwa.2008.01.017
]Search in Google Scholar
[
[2] F. Andreu, J.M. Mazón, J.D. Rossi, J. Toledo, A nonlocal p-Laplacian evolution equation with non homogeneous Dirichlet boundary conditions, SIAM J. Math. Anal, 40 (2009), 1815–1851.10.1137/080720991
]Search in Google Scholar
[
[3] G. Aubert, J. Aujol, A variational approach to removing multiplicative noise, SIAM J. Appl. Math, 68 (2008), 925-946.10.1137/060671814
]Search in Google Scholar
[
[4] L. Bai, A new approach for Cauchy noise removal, AIMS Mathematics, 6 (2021), 10296–10312.10.3934/math.2021596
]Search in Google Scholar
[
[5] A. Bovik, Handbook of Image and Video Processing. Academic Press, New York (2000).
]Search in Google Scholar
[
[6] Y.C. Chang, S.R. Kadaba, P.C. Doerschuk, and S.B. Gelfand, Image restoration using recursive Markov random field models driven by Cauchy distributed noise, IEEE Signal Processing letters, 8 (2001), 65–66.10.1109/97.905941
]Search in Google Scholar
[
[7] R. Chan, Y. Dong, M. Hintermüller, An efficient two-phase L1-TV method for restoring blurred images with impulse noise, IEEE Trans. Image Process, 19 (2010), 1731–1739.10.1109/TIP.2010.204514820227978
]Search in Google Scholar
[
[8] M. Ding, T. Huang, S. Wang, J.J. Mei and X.L. Zhao, Total variation with overlapping group sparsity for deblurring images under Cauchy noise, Applied Mathematics and Computation, 341 (2019), 128–147.10.1016/j.amc.2018.08.014
]Search in Google Scholar
[
[9] M. Ding, T. Huang, S. Wang, J.J. Mei, X.L. Zhao and J.H. Yang, Cauchy noise removal using group-based low-rank prior, Applied Mathematics and Computation, 372 (2020), 124971.10.1016/j.amc.2019.124971
]Search in Google Scholar
[
[10] Y. Dong, T. Zeng, A convex variational model for restoring blurred images with multiplicative noise, SIAM J. Imaging Sci, 6 (2013), 1598–1625.10.1137/120870621
]Search in Google Scholar
[
[11] G. Gilboa, S. Osher, Nonlocal linear image regularization and supervised segmentation, Multiscale Model. Simul, 6 (2007), 595–630.10.1137/060669358
]Search in Google Scholar
[
[12] G. Gilboa, S. Osher, Nonlocal operators with applications to image processing, Multiscale Model. Simul, 7 (2008), 1005–1028.10.1137/070698592
]Search in Google Scholar
[
[13] F. Karami, K. Sadik, L. Ziad, A variable exponent nonlocal p(x)-Laplacian equation for image restoration, Comput. Math. Appl, 75 (2018), 534–546.10.1016/j.camwa.2017.09.034
]Search in Google Scholar
[
[14] S. Kindermann, S. Osher, P.W. Jones, Deblurring and denoising of images by nonlocal functionals, IET Image Process, 4 (2005), 1091–1115.10.1137/050622249
]Search in Google Scholar
[
[15] A. Loza, D. Bull, N. Canagarajah, A. Achim, Non-Gaussian model-based fusion of noisy images in the wavelet domain, Comput. Vis. Image Underst, 114 (2010), 54–65.10.1016/j.cviu.2009.09.002
]Search in Google Scholar
[
[16] J. Mei, Y. Dong, T. Huang, W. Yin, N. Canagarajah, A. Achim, Cauchy noise removal by nonconvex ADMM with convergence guarantees, J. Sci. Comput, 74 (2018) 743–766.10.1007/s10915-017-0460-5
]Search in Google Scholar
[
[17] M. Nikolova, A variational approach to remove outliers and impulse noise, J. Math. Imaging Vision, 20 (2004), 90–120.10.1023/B:JMIV.0000011920.58935.9c
]Search in Google Scholar
[
[18] L. Rudin, P. Lions, S. Osher, Multiplicative denoising and deblurring: Theory and algorithms,in Geometric Level Sets in Imaging, Vision and Graphics, 103–119. Springer, New York (2003).10.1007/0-387-21810-6_6
]Search in Google Scholar
[
[19] F. Sciacchitano, Y. Dong, T. Zeng, Variational approach for restoring blurred images with Cauchy noise, SIAM J. Imaging Sci, 8 (2015), 1894–1922.10.1137/140997816
]Search in Google Scholar
[
[20] T. Wan, N. Canagarajah, A. Achim, Segmentation of noisy colour images using Cauchy distribution in the complex wavelet domain, IET Image Process, 5 (2011), 159–170.10.1049/iet-ipr.2009.0300
]Search in Google Scholar
[
[21] Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity, IEEE transactions on image processing, 13 (2004), 600–612.10.1109/TIP.2003.81986115376593
]Search in Google Scholar
[
[22] J. Yang, Y. Zhang, W. Yin, An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise, SIAM J. Sci. Comput, 31 (2009), 2842–2865.10.1137/080732894
]Search in Google Scholar
