19.4.3.20.2 Split Bregman Motion Blur, Image Restoration

Chapter Contents (Back)
Split Bregman.

Cai, J.F.[Jian-Feng], Osher, S.J.[Stanley J.], Shen, Z.W.[Zuo-Wei],
Linearized Bregman Iterations For Frame-Based Image Deblurring,
SIIMS(2), No. 1, 2009, pp. 226-252. linearized Bregman iteration, image deblurring, tight frame
DOI Link BibRef 0900

Wu, C.L.[Chun-Lin], Tai, X.C.[Xue-Cheng],
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration For ROF, Vectorial TV, and High Order Models,
SIIMS(3), No. 3, 2010, pp. 300-339.
DOI Link BibRef 1000
Earlier: A2, A1:
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model,
SSVM09(502-513).
Springer DOI 0906
augmented Lagrangian method; dual method; split Bregman iteration; ROF model; total variation
See also Orientation-Matching Minimization for Image Denoising and Inpainting. BibRef

Setzer, S.[Simon],
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing,
IJCV(92), No. 3, May 2011, pp. 265-280.
WWW Link. 1103
BibRef
Earlier:
Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage,
SSVM09(464-476).
Springer DOI 0906
Variational method for denoising BibRef

Sun, J.[Jigang], Crowe, M.[Malcolm], Fyfe, C.[Colin],
Extending metric multidimensional scaling with Bregman divergences,
PR(44), No. 5, May 2011, pp. 1137-1154.
Elsevier DOI 1101
Multidimensional scaling, Sammon mapping, Bregman divergence, Distance matrix preprocessing, Strategy focusing on small distances, Stress function definition BibRef

Getreuer, P.[Pascal],
Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1205
Code, Total Variation.
See also Nonlinear total variation based noise removal algorithms.
See also Gunturk-Altunbasak-Mersereau Alternating Projections Image Demosaicking. BibRef

Getreuer, P.[Pascal],
Total Variation Deconvolution Using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1208
Code, Total Variation. Deblurring
See also Nonlinear total variation based noise removal algorithms. Goldstein and Osher BibRef

Li, W.H.[Wei-Hong], Li, Q.[Quanli], Gong, W.G.[Wei-Guo], Tang, S.[Shu],
Total variation blind deconvolution employing split Bregman iteration,
JVCIR(23), No. 3, April 2012, pp. 409-417.
Elsevier DOI 1203
Image processing; Blind deconvolution; Split Bregman; Total variation; Deblurring; Euler-Lagrange equation; Iteration scheme; Point spread function BibRef

Chen, H.S.[Hua-Song], Wang, C.Y.[Chun-Yong], Song, Y.[Yang], Li, Z.H.[Zhen-Hua],
Split Bregmanized anisotropic total variation model for image deblurring,
JVCIR(31), No. 1, 2015, pp. 282-293.
Elsevier DOI 1508
Anisotropic BibRef

Shi, Y.Y.[Yu-Ying], Chang, Q.S.[Qian-Shun], Yang, X.Z.[Xiao-Zhong],
A robust and fast combination algorithm for deblurring and denoising,
SIViP(9), No. 4, May 2015, pp. 865-874.
Springer DOI 1504
Combined algorithm of split Bregman method, algebraic multigrid (AMG) method and Krylov acceleration. BibRef

Jiang, D.H.[Dong-Huan], Tan, X.[Xue], Liang, Y.Q.[Yong-Quan], Fang, S.[Sheng],
A new nonlocal variational bi-regularized image restoration model via split Bregman method,
JIVP(2015), No. 1, 2015, pp. 15.
DOI Link 1506
BibRef

Laghrib, A.[Amine], Hakim, A.[Abdelilah], Raghay, S.[Said],
An iterative image super-resolution approach based on Bregman distance,
SP:IC(58), No. 1, 2017, pp. 24-34.
Elsevier DOI 1710
Super-resolution BibRef

Jin, Y.[Yan], Jiang, X.[Xiaoben], Jiang, W.Y.[Wen-Yu],
An image denoising approach based on adaptive nonlocal total variation,
JVCIR(65), 2019, pp. 102661.
Elsevier DOI 1912
Adaptive regularization parameter, Image denoising, NLTV model, Split-Bregman method BibRef

Dodangeh, M.[Mahdi], Figueiredo, I.N.[Isabel N.], Gonçalves, G.[Gil],
Spatially adaptive total variation deblurring with split Bregman technique,
IET-IPR(12), No. 6, June 2018, pp. 948-958.
DOI Link 1805
BibRef

Altantawy, D.A.[Doaa A.], Saleh, A.I.[Ahmed I.], Kishk, S.S.[Sherif S.],
Texture-guided depth upsampling using Bregman split: A clustering graph-based approach,
VC(36), No. 2, February 2020, pp. 333-359.
WWW Link. 2002
BibRef


Al-Shabili, A.H.[Abdullah H.], Xu, X.J.[Xiao-Jian], Selesnick, I.[Ivan], Kamilov, U.S.[Ulugbek S.],
Bregman Plug-And-Play Priors,
ICIP22(241-245)
IEEE DOI 2211
Geometry, Deep learning, Gradient methods, Inverse problems, Noise reduction, Euclidean distance, Surges, Plug-and-play priors, image reconstruction BibRef

Gupta, K., Bhowmick, B., Majumdar, A.,
Motion blur removal via coupled autoencoder,
ICIP17(480-484)
IEEE DOI 1803
Couplings, Deconvolution, Image resolution, Kernel, Neural networks, Testing, Training, autoencoder, coupling, deblurring, motion blur, split bregman BibRef

Cheng-Wu, L.[Lu],
Image Restoration Based on Bi-Regularization and Split Bregman Iterations,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, X.X.[Xing-Xiu], Wei, Z.H.[Zhi-Hui],
Image Reconstruction with Component Regularization Based on Bregman Iteration,
CISP09(1-4).
IEEE DOI 0910
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Richardson-Lucy Algorithm .


Last update:Jun 5, 2024 at 10:22:22