Image restoration based on nonlocal total variation

Jinhua ZHANG; Yan HOU; Jun YANG

doi:10.3969/j.issn.1007-5461. 2015.03.004

[4] Paris Sylvain, Durand Fredo. A fast approximation of the bilateral filter using a signal processing approach ［C］. European Conference on Computer Vision (ECCV), 2006, 568-580.

[6] Rudin L I, Osher S, Fatimi E. Nonlinear total variation based noise removal algorithms ［J］. Physica D, 1992, 60(1-4): 259-268.

[7] Michailovich O V. An iterative shrinkage approach to total-variation image restoration ［J］. IEEE Transactions on Image Processing, 2011, 20(5): 1281-1299.

[8] Liu Gang, Huang Tingzhu, Liu Jun. High-order TVL1-based images restoration and spatially adapted regularization parameter selection ［J］. Computers and Mathematics with Applications, 2014, 67(10): 2015-2026.

[9] Buades A, Coll B, Morel J M. A nonlocal algorithm for image denoising ［J］. Computer Vision and Pattern Recognition, 2005, 2: 60-65.

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

[11] Combettes P L, Wajs V R. Signal recovery by proximal forward-backward splitting ［J］. Multiscale Modeling and Simulation, 2005, 4(4): 1168-1200.

[12] Beck A, Teboulle M. Fast gradient-based algorithms for constrained total variation denoising and deblurring problems ［J］. IEEE Transactions on Image Processing, 2009, 18(11): 2419-2434.