4.1.1 Regularization for Denoising, Noise Reduction, Restoration

Chapter Contents (Back)
Regularization. Denoising.
See also Image Restoration: Diffusion Model.

Taratorin, A.M., Sideman, S.,
Constrained Regularized Image Restoration Using Projection on a Set of Regularized Solutions,
TSP(44), No. 6, June 1996, pp. 1547-1548. 9607
BibRef

Geman, D., Yang, C.D.[Cheng-Da],
Nonlinear image recovery with half-quadratic regularization,
IP(4), No. 7, July 1995, pp. 932-946.
IEEE DOI 0402
BibRef

Zhu, D.[Daan], Razaz, M.[Moe], Fisher, M.[Mark],
An adaptive algorithm for image restoration using combined penalty functions,
PRL(27), No. 12, September 2006, pp. 1336-1341.
Elsevier DOI 0606
Gradient descent; Penalized likelihood; Combined penalty function; Regularization BibRef

Zhu, D.[Daan], Razaz, M., Lee, R.,
A robust regularised restoration algorithm based on Topkis-Veinott optimisation method,
ICPR04(IV: 705-708).
IEEE DOI 0409
BibRef
And:
A Landweber Algorithm for 3D Confocal Microscopy Restoration,
ICPR04(I: 552-555).
IEEE DOI 0409
BibRef

Pan, P., Schonfeld, D.,
Image Reconstruction and Multidimensional Field Estimation From Randomly Scattered Sensors,
IP(17), No. 1, January 2008, pp. 94-99.
IEEE DOI 0712
Image reconstruction from photon-limited images and field estimation from scattered sensors. BibRef

Sha, L., Schonfeld, D., Wang, J.,
Graph Laplacian Regularization With Sparse Coding for Image Restoration and Representation,
CirSysVideo(30), No. 7, July 2020, pp. 2000-2014.
IEEE DOI 2007
Image restoration, Image coding, Laplace equations, Clustering algorithms, Image edge detection, Encoding, image decomposition BibRef

Bao, P.[Paul], Hong, S.W.[Sung-Wai],
Image Restoration Based on Generalized Finite Automata Encoded Edge Preserving Regularization,
IJIG(2), No. 3, July 2002, pp. 425-439. 0207
BibRef

Pan, M.C.[Min-Cheng],
Image restoration through regularization based on error energy minimization,
IJIST(20), No. 4, December 2010, pp. 308-315.
DOI Link 1011
BibRef

Bredies, K.[Kristian], Kunisch, K.[Karl], Pock, T.[Thomas],
Total Generalized Variation,
SIIMS(3), No. 3, 2010, pp. 492-526.
DOI Link bounded variation, total generalized variation, tensor fields; regularization, image denoising BibRef 1000

Kunisch, K.[Karl], Pock, T.[Thomas],
A Bilevel Optimization Approach for Parameter Learning in Variational Models,
SIIMS(6), No. 2, 2013, pp. 938-983.
DOI Link 1307
BibRef

Allard, W.K.[William K.],
Total Variation Regularization For Image Denoising, III. Examples.,
SIIMS(2), No. 2, 2009, pp. 532-568. total variation, regularization, denoising
DOI Link 0905
BibRef

Lu, C.W.,
Image restoration and decomposition using nonconvex non-smooth regularisation and negative Hilbert-Sobolev norm,
IET-IPR(6), No. 6, 2012, pp. 706-716.
DOI Link 1210
BibRef

Chen, X.J.[Xiao-Jun], Ng, M.K., Zhang, C.[Chao],
Non-Lipschitz L_p-Regularization and Box Constrained Model for Image Restoration,
IP(21), No. 12, December 2012, pp. 4709-4721.
IEEE DOI 1212
BibRef

Deng, L.J.[Liang-Jian], Huang, T.Z.[Ting-Zhu], Zhao, X.L.[Xi-Le], Zhao, L.[Liang], Wang, S.[Si],
Signal restoration combining Tikhonov regularization and multilevel method with thresholding strategy,
JOSA-A(30), No. 5, May 2013, pp. 948-955.
DOI Link 1305

See also Regularization of Ill-Posed Problems, The. BibRef

Lanza, A.[Alessandro], Morigi, S.[Serena], Sgallari, F.[Fiorella],
Convex Image Denoising via Non-convex Regularization with Parameter Selection,
JMIV(56), No. 2, October 2016, pp. 195-220.
Springer DOI 1609
BibRef
Earlier:
Convex Image Denoising via Non-Convex Regularization,
SSVM15(666-677).
Springer DOI 1506
BibRef

Selesnick, I.[Ivan], Lanza, A.[Alessandro], Morigi, S.[Serena], Sgallari, F.[Fiorella],
Non-convex Total Variation Regularization for Convex Denoising of Signals,
JMIV(62), No. 6-7, July 2020, pp. 825-841.
Springer DOI 2007
BibRef

Lanza, A.[Alessandro], Sciacchitano, F.[Federica], Morigi, S.[Serena], Sgallari, F.[Fiorella],
A Unified Framework for the Restoration of Images Corrupted by Additive White Noise,
SSVM17(498-510).
Springer DOI 1706
BibRef

Liu, X.M.[Xian-Ming], Zhai, D.M.[De-Ming], Zhao, D.B.[De-Bin], Zhai, G.T.[Guang-Tao], Gao, W.[Wen],
Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework,
IP(23), No. 4, April 2014, pp. 1491-1503.
IEEE DOI 1404
Laplace transforms BibRef

Jalab, H.A.[Hamid A.], Ibrahim, R.W.[Rabha W.],
Fractional Conway Polynomials for Image Denoising with Regularized Fractional Power Parameters,
JMIV(51), No. 3, March 2015, pp. 442-450.
WWW Link. 1504
BibRef

Gavaskar, R.G.[Ruturaj G.], Athalye, C.D.[Chirayu D.], Chaudhury, K.N.[Kunal N.],
On Plug-and-Play Regularization Using Linear Denoisers,
IP(30), 2021, pp. 4802-4813.
IEEE DOI 2105
BibRef

Nair, P.[Pravin], Chaudhury, K.N.[Kunal N.],
Plug-and-Play Regularization Using Linear Solvers,
IP(31), 2022, pp. 6344-6355.
IEEE DOI 2210
Kernel, Image reconstruction, Convergence, Superresolution, Signal processing algorithms, Optimization, Linear systems, Krylov solver BibRef

Cohen, R.[Regev], Elad, M.[Michael], Milanfar, P.[Peyman],
Regularization by Denoising via Fixed-Point Projection (RED-PRO),
SIIMS(14), No. 3, 2021, pp. 1374-1406.
DOI Link 2110
BibRef

Yu, Z.[Zhi], Luo, Y.H.[Yi-Hao], Liu, Z.F.[Zhi-Fa], Zhou, G.X.[Guo-Xu],
Contour information regularized tensor ring completion for realistic image restoration,
IET-IPR(16), No. 13, 2022, pp. 3499-3506.
DOI Link 2210
BibRef

Cheng, K.H.[Kuan-Hong], Prasad, S.[Shitala], Chai, T.T.[Ting-Ting], Xue, W.W.[Wang-Wang], Zhao, D.[Dong],
Local Curvature Optimization for Self-Supervised Image Restoration,
SPLetters(31), 2024, pp. 1294-1298.
IEEE DOI 2405
Image restoration, Noise, Electronics packaging, Optimization, Training, Noise reduction, Image restoration, super resolution, regularization BibRef

Trottier, S.[Simon], Bosse, J.[Jonathan],
A Relationship Between the False Alarm Probability and the Atomic Norm Denoising Regularization Parameter for Line Spectral Estimation,
SPLetters(31), 2024, pp. 2410-2414.
IEEE DOI 2410
Radar, seismology, communications. Noise reduction, Vectors, Gaussian noise, Estimation, Accuracy, Signal to noise ratio, Optimization, Atomic norm minimization, excursion probability of Gaussian random fields BibRef

Cascarano, P.[Pasquale], Benfenati, A.[Alessandro], Kamilov, U.S.[Ulugbek S.], Xu, X.J.[Xiao-Jian],
Constrained Regularization by Denoising With Automatic Parameter Selection,
SPLetters(31), 2024, pp. 556-560.
IEEE DOI 2402
Standards, Image restoration, Noise reduction, Convex functions, AWGN, Signal processing algorithms, Noise measurement, discrepancy principle BibRef

Sinha, A.[Arghya], Chaudhury, K.N.[Kunal N.],
On the Strong Convexity of PnP Regularization Using Linear Denoisers,
SPLetters(31), 2024, pp. 2790-2794.
IEEE DOI 2410
Signal processing algorithms, Convergence, Kernel, Standards, Convex functions, Superresolution, Inverse problems, Indexes, strong convexity BibRef

Faye, E.C.[Elhadji C.], Fall, M.D.[Mame Diarra], Dobigeon, N.[Nicolas],
Regularization by Denoising: Bayesian Model and Langevin-Within-Split Gibbs Sampling,
IP(34), 2025, pp. 221-234.
IEEE DOI 2501
Bayes methods, Noise reduction, Monte Carlo methods, Uncertainty, Probabilistic logic, Imaging, Jacobian matrices, Inverse problems, deep learning BibRef


Iskender, B.[Berk], Klasky, M.L.[Marc L.], Bresler, Y.[Yoram],
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging,
ICCV23(10561-10570)
IEEE DOI 2401
BibRef

Takagi, T.[Tsukasa], Ishizaki, S.[Shinya], Maeda, S.I.[Shin-Ichi],
JPEG Information Regularized Deep Image Prior for Denoising,
ICIP23(380-384)
IEEE DOI 2312
BibRef

Zhang, M.Y.[Ming-Yan], Zhang, M.L.[Ming-Li], Zhao, F.[Feng], Zhang, F.[Fan], Liu, Y.P.[Ye-Peng], Evans, A.[Alan],
Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising,
ICIP23(1825-1829)
IEEE DOI 2312
BibRef

Shi, H.[Hui], Traonmilin, Y.[Yann], Aujol, J.F.[Jean-François],
Compressive Learning of Deep Regularization for Denoising,
SSVM23(162-174).
Springer DOI 2307
BibRef

Anantrasirichai, N., Burn, J., Bull, D.R.[David R.],
Projective image restoration using sparsity regularization,
ICIP13(1080-1084)
IEEE DOI 1402
Accuracy BibRef

Sa, P.K.[Pankaj Kumar], Majhi, B.[Banshidhar],
Adaptive edge preserving regularized image restoration,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Wu, X.J.[Xian-Jin], Wang, R.S.[Run-Sheng], Wang, C.[Cheng],
Regularized image restoration based on adaptively selecting parameter and operator,
ICPR04(III: 662-665).
IEEE DOI 0409
BibRef

Gutierrez, J., Malo, J., Ferri, F.J.,
Perceptual regularization functionals for natural image restoration,
ICIP03(II: 989-992).
IEEE DOI 0312
BibRef

Fan, L.X.[Li-Xin], Sung, K.K.[Kah Kay],
Towards Statistical Image Restoration: Perceptual Grouping as Regularizing Operators,
PercOrg01(xx-yy). 0106
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Inverse Problems .


Last update:Mar 17, 2025 at 20:02:03