5.3.4 Space Varying Restoration, Adaptive Restoration

Ge, Q., Jing, X.Y., Wu, F., Wei, Z.H., Xiao, L., Shao, W.Z., Yue, D., Li, H.B.,
Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal,
IP(26), No. 7, July 2017, pp. 3098-3112.
IEEE DOI 1706
AWGN, Encoding, Image coding, Image denoising, Manifolds, Noise reduction, Low-rank model, graph nuclear norm regularization, manifold structure, mixed noise removal, weighted, singular-value, thresholding, algorithm BibRef

Skariah, D.G., Arigovindan, M.,
Nested Conjugate Gradient Algorithm With Nested Preconditioning for Non-Linear Image Restoration,
IP(26), No. 9, September 2017, pp. 4471-4482.
IEEE DOI 1708
concave programming, conjugate gradient methods, fast Fourier transforms, image restoration, FFT-based noniterative preconditioner, NNCG algorithm, conjugate gradient iteration, convex regularization functional, majorization-minimization method, nested conjugate gradient algorithm, nested nonlinear CG algorithm, nested preconditioning, nonconvex inertial-proximal method, nonconvex regularization functional, nonlinear image restoration, optimization algorithm, preconditioned nonlinear CG algorithm, quadratic data fitting, smooth nonquadratic regularization, Convergence, Cost function, Gradient methods, Image restoration, Minimization, Noise measurement, Image restoration, conjugate gradient method, convex regularization, nonconvex regularization, optimization, preconditioning BibRef

Lu, X.L.[Xiao-Lei], Lü, X.B.[Xue-Bin], Zuo, Y.S.[Yong-Sheng],
Spherically contoured exponential scale mixture prior based nonlocal image restoration with ADMM framework,
JVCIR(55), 2018, pp. 374-392.
Elsevier DOI 1809
Image restoration, Nonlocal self-similarity, Spherically contoured exponential scale mixture, ADMM BibRef

Lu, X.L.[Xiao-Lei], Lü, X.B.[Xue-Bin],
ADMM for image restoration based on nonlocal simultaneous sparse Bayesian coding,
SP:IC(70), 2019, pp. 157-173.
Elsevier DOI 1812
ADMM, Image restoration, Simultaneous sparse Bayesian coding, Empirical Bayesian BibRef

Laus, F.[Friederike], Pierre, F.[Fabien], Steidl, G.[Gabriele],
Nonlocal Myriad Filters for Cauchy Noise Removal,
JMIV(60), No. 8, October 2018, pp. 1324-1354.
Springer DOI 1810
BibRef

Cheng, J.T.[Jun-Ting], Gao, Y.[Yi], Guo, B.Y.[Bo-Yang], Zuo, W.M.[Wang-Meng],
Image restoration using spatially variant hyper-Laplacian prior,
SIViP(13), No. 1, February 2019, pp. 155-162.
WWW Link. 1901
BibRef

Ren, C., He, X., Nguyen, T.Q.,
Adjusted Non-Local Regression and Directional Smoothness for Image Restoration,
MultMed(21), No. 3, March 2019, pp. 731-745.
IEEE DOI 1903
image denoising, image reconstruction, image resolution, image restoration, iterative methods, minimisation, super-resolution BibRef

Ramya, A., Murugan, D., Murugeswari, G., Joseph, N.[Nisha],
Adaptive multi-threshold based de-noising filter for medical image applications,
IJCVR(9), No. 3, 2019, pp. 272-292.
DOI Link 1906
BibRef

Shen, Z.W.[Zheng-Wei], Sun, H.T.[Hui-Tong],
Iterative Adaptive Nonconvex Low-Rank Tensor Approximation to Image Restoration Based on ADMM,
JMIV(61), No. 5, June 2019, pp. 627-642.
Springer DOI 1906
BibRef

Zhao, W., Liu, Q., Lv, Y., Qin, B.,
Texture Variation Adaptive Image Denoising With Nonlocal PCA,
IP(28), No. 11, November 2019, pp. 5537-5551.
IEEE DOI 1909
Noise reduction, Transforms, Principal component analysis, Noise level, Image denoising, Clustering algorithms, LPA-ICI BibRef

Li, C., Xie, H., Fan, X., Xu, R.Y.D., van Huffel, S., Sisson, S.A., Mengersen, K.,
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator,
IP(28), No. 10, October 2019, pp. 4899-4911.
IEEE DOI 1909
approximation theory, belief networks, eigenvalues and eigenfunctions, image denoising, Stein's unbiased risk estimator BibRef

Xie, T., Li, S., Sun, B.,
Hyperspectral Images Denoising via Nonconvex Regularized Low-Rank and Sparse Matrix Decomposition,
IP(29), No. 1, 2020, pp. 44-56.
IEEE DOI 1910
approximation theory, concave programming, convex programming, Gaussian noise, hyperspectral imaging, image denoising, low-rank matrix approximation (LRMA) BibRef

Hou, Y.K.[Ying-Kun], Xu, J.[Jun], Liu, M.X.[Ming-Xia], Liu, G.H.[Guang-Hai], Liu, L.[Li], Zhu, F.[Fan], Shao, L.[Ling],
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising,
IP(29), 2020, pp. 5121-5135.
IEEE DOI 2004
Image denoising, Noise reduction, Noise level, Estimation, Transforms, Noise measurement, Histograms, image denoising BibRef

Xu, J.[Jun], Liu, Z.A.[Zhi-Ang], Hou, Y.K.[Ying-Kun], Zhen, X.T.[Xian-Tong], Shao, L.[Ling], Cheng, M.M.[Ming-Ming],
Pixel-Level Non-local Image Smoothing With Objective Evaluation,
MultMed(23), 2021, pp. 4065-4078.
IEEE DOI 2112
Smoothing methods, Task analysis, Measurement, Benchmark testing, Image edge detection, Visualization, Optimization, Image smoothing, pixel-level non-local self similarity BibRef

Ma, T.H.[Tian-Hui], Xu, Z.B.[Zong-Ben], Meng, D.Y.[De-Yu],
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Fu, J.H.[Jia-Hong], Xie, Q.[Qi], Meng, D.Y.[De-Yu], Xu, Z.B.[Zong-Ben],
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration,
PAMI(46), No. 10, October 2024, pp. 6577-6593.
IEEE DOI 2409
Task analysis, Biomedical imaging, Superresolution, Image reconstruction, Convolution, Image restoration, Standards, rotation symmetry prior BibRef

Xu, X., Sun, Y., Liu, J., Wohlberg, B., Kamilov, U.S.[Ulugbek S.],
Provable Convergence of Plug-and-Play Priors With MMSE Denoisers,
SPLetters(27), 2020, pp. 1280-1284.
IEEE DOI 2008
Plug-and-play priors, inverse problems, computational imaging, iterative shrinkage/thresholding algorithm (ISTA), deep learning BibRef

Zha, Z.Y.[Zhi-Yuan], Yuan, X.[Xin], Zhou, J.T.[Jian-Tao], Zhu, C.[Ce], Wen, B.[Bihan],
Image Restoration via Simultaneous Nonlocal Self-Similarity Priors,
IP(29), 2020, pp. 8561-8576.
IEEE DOI 2008
Image restoration, structural sparse representation, simultaneous nonlocal self-similarity, Gaussian mixture model, adaptive parameter adjusting BibRef

Guo, L.Q.[Lan-Qing], Zha, Z.Y.[Zhi-Yuan], Ravishankar, S.[Saiprasad], Wen, B.[Bihan],
Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration,
IP(31), 2022, pp. 1311-1324.
IEEE DOI 2202
Image restoration, Noise reduction, Convolution, Motion estimation, Image denoising, Approximation algorithms, non-local similarity BibRef

Zha, Z.Y.[Zhi-Yuan], Yuan, X.[Xin], Wen, B.[Bihan], Zhang, J.C.[Jia-Chao], Zhou, J.T.[Jian-Tao], Zhu, C.[Ce],
Simultaneous Nonlocal Self-Similarity Prior for Image Denoising,
ICIP19(1119-1123)
IEEE DOI 1910
Image denoising, simultaneous nonlocal self-similarity, gaussian mixture model, low-rank BibRef

Zha, Z.Y.[Zhi-Yuan], Zhang, X.G.[Xing-Gan], Wang, Q.[Qiong], Bai, Y.C.[Ye-Chao], Tang, L.[Lan],
Image denoising using group sparsity residual and external nonlocal self-similarity prior,
ICIP17(2956-2960)
IEEE DOI 1803
Covariance matrices, Dictionaries, Estimation, Gaussian mixture model, Image denoising, Noise measurement, nonlocal self-similarity BibRef

Qi, L.T.[Le-Tian], Shen, M.L.[Ming-Lin], Wang, D.L.[Dai-Li], Wang, S.Y.[Shi-Yuan],
Robust Cauchy Kernel Conjugate Gradient Algorithm for Non-Gaussian Noises,
SPLetters(28), 2021, pp. 1011-1015.
IEEE DOI 2106
Kernel, Noise measurement, Loss measurement, Signal processing algorithms, Robustness, Convex functions, half-quadratic optimization BibRef

Tian, L.[Lin], Miao, J.Q.[Jia-Qing], Zhou, X.B.[Xia-Bing], Wang, C.[Chao],
A novel denoising algorithm for medical images based on the non-convex non-local similar adaptive regularization,
IET-IPR(15), No. 8, 2021, pp. 1702-1711.
DOI Link 2106
image denoising, image restoration, non-convex model, non-local regularization, sparse representation BibRef

Zhang, J.H.[Jia-Hong], Cao, L.H.[Li-Hong], Wang, T.[Tian], Fu, W.L.[Wen-Long], Shen, W.H.[Wei-Heng],
NHNet: A non-local hierarchical network for image denoising,
IET-IPR(16), No. 9, 2022, pp. 2446-2456.
DOI Link 2206
BibRef

Shao, Y.H.[Yu-Hao], Jiang, J.L.[Jie-Lin], Hong, X.M.[Xiang-Ming],
An improved nonlocal means-based correction strategy for mixed noise removal,
IET-IPR(16), No. 14, 2022, pp. 3701-3714.
DOI Link 2212
BibRef

He, L.T.[Liang-Tian], Zhang, Q.H.[Qing-Hua], Yang, X.S.[Xue-Song], Wang, Y.L.[Yi-Lun], Wang, C.[Chao],
SLN-RED: Regularization by Simultaneous Local and Nonlocal Denoising for Image Restoration,
SPLetters(30), 2023, pp. 578-582.
IEEE DOI 2306
Convergence, Noise reduction, Image restoration, Signal processing algorithms, Task analysis, Superresolution, fixed-point convergence BibRef

Bao, F.X.[Fang-Xun], Lei, Y.F.[Yi-Fan], Jia, Y.Q.[Yi-Qiao], Du, H.W.[Hong-Wei], Gao, C.Y.[Cheng-Yong], Zhang, Y.F.[Yun-Feng],
An image denoising method based on the nonlinear Schrödinger equation and spectral subband decomposition,
CVIU(237), 2023, pp. 103840.
Elsevier DOI 2311
Nonlinear optical system, Dynamic stochastic resonance, Nonlinear Schrödinger equation, Image denoising BibRef

Floquet, A.[Arthur], Dutta, S.[Sayantan], Soubies, E.[Emmanuel], Pham, D.H.[Duong-Hung], Kouame, D.[Denis],
Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth,
SPLetters(31), 2024, pp. 381-385.
IEEE DOI 2402
Noise measurement, Noise reduction, Tuning, Training, Signal processing algorithms, Costs, Noise level, hyper-parameter tuning BibRef

Dutta, S.[Sayantan], Basarab, A.[Adrian], Georgeot, B.[Bertrand], Kouamé, D.[Denis],
DIVA: Deep unfolded network from quantum interactive patches for image restoration,
PR(155), 2024, pp. 110676.
Elsevier DOI 2408
Quantum many-body interaction, Schrödinger equation, Unfolding, Deep learning, Image restoration, Quantum image processing BibRef

Chen, Q.[Quan], Zheng, B.[Bolun], Yan, C.G.[Cheng-Gang], Zhu, Z.J.[Zun-Jie], Wang, T.Y.[Ting-Yu], Slabaugh, G.[Gregory], Yuan, S.X.[Shan-Xin],
GoLDFormer: A global-local deformable window transformer for efficient image restoration,
JVCIR(100), 2024, pp. 104117.
Elsevier DOI 2405
Image restoration, Transformer, Adaptive filter, Window-based attention BibRef

Luo, Y.[Yisi], Zhao, X.[Xile], Meng, D.Y.[De-Yu],
Revisiting Nonlocal Self-Similarity from Continuous Representation,
PAMI(47), No. 1, January 2025, pp. 450-468.
IEEE DOI 2412
Point cloud compression, Tensors, Data processing, Meteorology, Computational efficiency, Sensors, Noise reduction, tensor tucker factorization BibRef

Zhang, M.[Min], Liu, S.[Shupeng], Li, T.[Taihao], Chen, H.[Huai], Xu, X.Y.[Xiao-Yin],
Use estimated signal and noise to adjust step size for image restoration,
PRL(186), 2024, pp. 57-63.
Elsevier DOI 2412
Inverse problem, Image deblurring, Step size, Iterative methods, Blind signal separation, Noise estimate BibRef

Peng, C.Y.[Chun-Yan], Zhao, X.[Xueya], Chen, Y.B.[Yang-Bo], Zhang, W.Q.[Wan-Qing], Zheng, Y.H.[Yu-Hui],
Multi-task image restoration network based on spatial aggregation attention and multi-feature fusion,
IET-IPR(18), No. 14, 2024, pp. 4563-4576.
DOI Link 2501
image denoising, image restoration BibRef

Yu, Q.[Qianhao], Zheng, N.[Naishan], Huang, J.[Jie], Zhao, F.[Feng],
Cleanness-navigated-contamination network: A unified framework for recovering regional degradation,
CVIU(251), 2025, pp. 104274.
Elsevier DOI 2501
Image restoration, Regional degradation, Contamination removal, Attention mechanism BibRef

Park, B.J.[Byeong-Jun], Go, H.[Hyojun], Kim, J.Y.[Jin-Young], Woo, S.[Sangmin], Ham, S.[Seokil], Kim, C.[Changick],
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-experts,
ECCV24(LIII: 461-477).
Springer DOI 2412
BibRef

Mansour, Y.[Youssef], Zhong, X.Y.[Xu-Yang], Caglar, S.[Serdar], Heckel, R.[Reinhard],
TTT-MIM: Test-time Training with Masked Image Modeling for Denoising Distribution Shifts,
ECCV24(XII: 341-357).
Springer DOI 2412
Code:
WWW Link. BibRef

Cao, S.[Shuo], Liu, Y.H.[Yi-Hao], Zhang, W.L.[Wen-Long], Qiao, Y.[Yu], Dong, C.[Chao],
Grids: Grouped Multiple-Degradation Restoration with Image Degradation Similarity,
ECCV24(LXX: 70-87).
Springer DOI 2412
BibRef

Li, Y.[Yawei], Fan, Y.C.[Yu-Chen], Xiang, X.Y.[Xiao-Yu], Demandolx, D.[Denis], Ranjan, R.[Rakesh], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration,
CVPR23(18278-18289)
IEEE DOI 2309
BibRef

Yang, Z.Z.[Zi-Zheng], Huang, J.[Jie], Chang, J.H.[Jia-Hao], Zhou, M.[Man], Yu, H.[Hu], Zhang, J.H.[Jing-Hao], Zhao, F.[Feng],
Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery,
CVPR23(14059-14070)
IEEE DOI 2309
BibRef

Zhang, Z.Y.[Zhao-Yang], Jiang, Y.T.[Yi-Tong], Shao, W.Q.[Wen-Qi], Wang, X.G.[Xiao-Gang], Luo, P.[Ping], Lin, K.[Kaimo], Gu, J.[Jinwei],
Real-Time Controllable Denoising for Image and Video,
CVPR23(14028-14038)
IEEE DOI 2309
BibRef

Song, M.Y.[Ming-Yang], Zhang, Y.[Yang], Aydin, T.O.[Tunç O.],
TempFormer: Temporally Consistent Transformer for Video Denoising,
ECCV22(XIX:481-496).
Springer DOI 2211
BibRef

Kim, K.[Kwanyoung], Kwon, T.[Taesung], Ye, J.C.[Jong Chul],
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching,
CVPR22(1998-2006)
IEEE DOI 2210
Adaptation models, Technological innovation, Systematics, Noise reduction, Self-supervised learning, Benchmark testing, Self- semi- meta- unsupervised learning BibRef

Wang, Z.J.[Ze-Jin], Liu, J.Z.[Jia-Zheng], Li, G.Q.[Guo-Qing], Han, H.[Hua],
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots,
CVPR22(2017-2026)
IEEE DOI 2210
Training, Upper bound, Codes, Noise reduction, Data collection, Low-level vision, Self- semi- meta- unsupervised learning BibRef

Wen, Y.[Ying], Vese, L.A.[Luminita A.],
Nonlocal Adaptive Biharmonic Regularizer for Image Restoration,
ISVC20(II:670-681).
Springer DOI 2103
BibRef

Cha, S., Moon, T.,
Fully Convolutional Pixel Adaptive Image Denoiser,
ICCV19(4159-4168)
IEEE DOI 2004
Code, Denoising.
WWW Link. convolutional neural nets, image denoising, Robustness BibRef

Suganuma, M.[Masanori], Liu, X.[Xing], Okatani, T.[Takayuki],
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions,
CVPR19(9031-9040).
IEEE DOI 2002
BibRef

Wolf, V.[Valentin], Lugmayr, A.[Andreas], Danelljan, M.[Martin], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows,
CVPR21(94-103)
IEEE DOI 2111
Degradation, Superresolution, Training data, Stochastic processes, Data models, Image restoration BibRef

Gu, S., Li, W., Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Fast Image Restoration With Multi-Bin Trainable Linear Units,
ICCV19(4189-4198)
IEEE DOI 2004
image denoising, image resolution, image restoration, learning (artificial intelligence), neural nets, Image denoising BibRef

Gu, S., Timofte, R., Van Gool, L.J.,
Integrating Local and Non-local Denoiser Priors for Image Restoration,
ICPR18(2923-2928)
IEEE DOI 1812
Image restoration, Task analysis, Noise reduction, Image resolution, Adaptation models, Optimization, Degradation BibRef

Zhang, X., Yuan, X., Carin, L.,
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration,
CVPR18(8232-8241)
IEEE DOI 1812
Image reconstruction, Compressed sensing, Image restoration, Noise measurement, Optimization BibRef

Ding, L.[Ling], Zhang, H.[Huyin], Li, B.[Bijun], Zhou, J.[Jian], Gu, W.H.[Wen-Hao],
Mixed-Noise Removal in Images Based on a Convolutional Neural Network,
PSIVTWS17(453-464).
Springer DOI 1806
BibRef

Movchan, R., Shen, Z.,
Adaptive thresholding HOSVD algorithm with iterative regularization for image denoising,
ICIP17(2991-2995)
IEEE DOI 1803
Adaptation models, Image denoising, Iterative algorithms, Noise level, Noise reduction, Tensile stress, Nonlocal self-similarity BibRef

Saragadam, V.[Vishwanath], Sankaranarayanan, A.C.[Aswin C.], Li, X.[Xin],
Cross-scale predictive dictionaries for image and video restoration,
ICIP16(709-713)
IEEE DOI 1610
Dictionaries BibRef

Koloda, J.[Jan], Seiler, J.[Jurgen], Kaup, A.[Andre],
Denoising-based image reconstruction from pixels located at non-integer positions,
ICIP15(4565-4569)
IEEE DOI 1512
Floating mesh; adaptive denoising; image reconstruction BibRef

Wang, B.[Bo], Lu, T.[Tao], Xiong, Z.,
Adaptive Boosting for Image Denoising: Beyond Low-Rank Representation and Sparse Coding,
ICPR16(1400-1405)
IEEE DOI 1705
Algorithm design and analysis, Boosting, Convergence, Image coding, Image denoising, Noise measurement, Noise, reduction BibRef

Wang, B.[Bo], Xiong, Z.X.[Zi-Xiang], Zhang, D.Q.[Dong-Qing], Yu, H.[Heather],
Nonlocal image denoising via collaborative spatial-domain LMMSE estimation,
ICIP14(2714-2718)
IEEE DOI 1502
Collaboration BibRef

Stephan, T.[Thomas], Beyerer, J.[Jurgen],
Computergraphical Model for Underwater Image Simulation and Restoration,
CVAUI14(73-79)
IEEE DOI 1402
Computational modeling BibRef

Martínez Felipe, M.D.[Miguel De_Jesús], Riveron, E.M.F.[Edgardo M. Felipe], Ramirez, P.M.[Pablo Manrique], Pogrebnyak, O.[Oleksiy],
Image Noise Filter Based on DCT and Fast Clustering,
MCPR17(149-158).
Springer DOI 1706
BibRef

Rubel, A.[Aleksey], Lukin, V.V.[Vladimir V.], Pogrebnyak, O.[Oleksiy],
Efficiency of DCT-Based Denoising Techniques Applied to Texture Images,
MCPR14(261-270).
Springer DOI 1407
BibRef

Wang, B.[Bo], Tu, Z.W.[Zhuo-Wen],
Sparse Subspace Denoising for Image Manifolds,
CVPR13(468-475)
IEEE DOI 1309
BibRef

Zhao, X.Q.[Xue-Qing], Mavridis, P.[Pavlos], Schreck, T.[Tobias], Kuijper, A.[Arjan],
RDEPS: A Combined Reaction-Diffusion Equation and Photometric Similarity Filter for Optical Image Restoration,
ISVC16(II: 43-54).
Springer DOI 1701
BibRef

Thuerck, D.[Daniel], Kuijper, A.[Arjan],
Cosine-Driven Non-linear Denoising,
ICIAR13(245-254).
Springer DOI 1307
BibRef

Ladan, J., Vrscay, E.R.[Edward R.],
The Discrete Orthonormal Stockwell Transform and Variations, with Applications to Image Compression,
ICIAR13(235-244).
Springer DOI 1307
BibRef

Vijay, M., Subha, S.V.,
Spatially adaptive image restoration method using LPG-PCA and JBF,
IMVIP12(53-56).
IEEE DOI 1302
BibRef

Wang, S.L.[Shen-Long], Zhang, L.[Lei], Liang, Y.[Yan],
Nonlocal Spectral Prior Model for Low-Level Vision,
ACCV12(III:231-244).
Springer DOI 1304
Image nonlocal self-similarity. BibRef

Lakshmi, A., Rakshit, S.,
Noise Adaptive Image Restoration: A Minimum Mean Square Error Approach,
NCVPRIPG11(110-113).
IEEE DOI 1205
BibRef

Lakshmi, A., Rakshit, S.,
Image Restoration: An Edge Detection Based Regularization,
NCVPRIPG11(114-117).
IEEE DOI 1205
BibRef

Bertaccini, D.[Daniele], Chan, R.H.[Raymond H.], Morigi, S.[Serena], Sgallari, F.[Fiorella],
An Adaptive Norm Algorithm for Image Restoration,
SSVM11(194-205).
Springer DOI 1201

See also Cascadic Alternating Krylov Subspace Image Restoration Method, A. BibRef

Zhang, B.[Bin], Qi, Y.J.[Ying-Jian], Ou, Z.W.[Zhi-Wei], Jiao, Y.L.[Yan-Li],
Regularized image restoration with singular value decomposition,
IASP11(321-325).
IEEE DOI 1112
BibRef

Marquez, D.[David], Devy, M.[Michel], Sola, J.[Joan],
A new efficient nonlinear filter based on support vector machines for image denoising,
ICIP09(3865-3868).
IEEE DOI 0911
BibRef

Sorel, M.[Michal], Sroubek, F.[Filip],
Space-variant deblurring using one blurred and one underexposed image,
ICIP09(157-160).
IEEE DOI 0911
BibRef

Wang, Y.W.[Yan-Wei], Orchard, J.[Jeff],
The discrete orthonormal Stockwell transform for image restoration,
ICIP09(2761-2764).
IEEE DOI 0911
BibRef

Falconer, C.[Cory], Bohun, C.S.[C. Sean], Ebrahimi, M.[Mehran],
A Note on Boosting Algorithms for Image Denoising,
ICIAR17(134-142).
Springer DOI 1706
BibRef

Orchard, J.[Jeff], Ebrahimi, M.[Mehran], Wong, A.[Alexander],
Efficient nonlocal-means denoising using the SVD,
ICIP08(1732-1735).
IEEE DOI 0810
BibRef

Bilcu, R.C.[Radu Ciprian], Vehvilainen, M.[Markku],
Combined Non-Local averaging and intersection of confidence intervals for image de-noising,
ICIP08(1736-1739).
IEEE DOI 0810
BibRef

Kober, V.[Vitaly], Gomez Agis, J.[Jacobo],
Space-Variant Restoration with Sliding Discrete Cosine Transform,
CAIP07(903-911).
Springer DOI 0708
BibRef

Kober, V.[Vitaly], Ramos Michel, E.M.[Erika Margarita],
Enhancement of Noisy Images with Sliding Discrete Cosine Transform,
CIAP05(312-319).
Springer DOI 0509
BibRef

Bar, L.[Leah], Sochen, N.A.[Nir A.], Kiryati, N.[Nahum],
Blind Space-Variant Single-Image Restoration of Defocus Blur,
SSVM17(109-120).
Springer DOI 1706
BibRef
And:
Restoration of Images with Piecewise Space-Variant Blur,
SSVM07(533-544).
Springer DOI 0705

See also Semi-Blind Image Restoration Via Mumford-Shah Regularization. BibRef

Hu, H.[Hao], de Haan, G.[Gerard],
Adaptive Image Restoration Based on Local Robust Blur Estimation,
ACIVS07(461-472).
Springer DOI 0708
BibRef

Zhang, W.[Wei], Yang, R.[Rui], Xue, X.Y.[Xiang-Yang], Lu, H.[Hong], Guo, Y.F.[Yue-Fei],
Quotient Set-based Nonlinear Manifold for Image Restoration,
ICARCV06(1-4).
IEEE DOI 0612
BibRef

Wang, H.C.[Hong-Cheng], Chen, Y.Q.[Yun-Qiang], Fang, T.[Tong], Tyan, J., Ahuja, N.,
Gradient Adaptive Image Restoration and Enhancement,
ICIP06(2893-2896).
IEEE DOI 0610
BibRef

Cho, D.W.[Dong-Wook], Bui, T.D.[Tien D.], Chen, G.Y.[Guang-Yi],
Image Denoising Using Neighbor and Level Dependency,
ICIAR05(91-98).
Springer DOI 0509
BibRef

Jeon, W., Yi, T.,
Image Restoration Using Dual Adaptive Regularization Operators,
ICPR00(Vol III: 45-48).
IEEE DOI 0009
BibRef

Mastropietro, D.G.[Daniel G.], Tull, D.L.[Damon L.], Kang, M.G.[Moon Gi],
A Risk-Based Frequency Adaptive Image Restoration,
ICIP99(I:367-371).
IEEE DOI BibRef 9900

Tull, D.L., Katsaggelos, A.K.,
Regularized restoration of partial-response distortions in sporadically degraded images,
ICIP98(III: 732-736).
IEEE DOI 9810
BibRef

Srinidhi, K.G., Brooks, D.H.,
Edge preserving image restoration using convex optimization,
ICIP98(II: 823-827).
IEEE DOI 9810
BibRef

Lee, S.H.[Sang Hwa], Lee, C.W.[Choong Woong],
A New Space-Adaptive Regularized Constrained Iterative Image Restoration Algorithms and Analysis of Convergence Condition,
ICIP96(I: 781-784).
IEEE DOI BibRef 9600

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Non-Local Means for Denoising .

Last update:Jan 20, 2025 at 11:36:25