5.3.4 Space Varying Restoration, Adaptive Restoration

Chapter Contents (Back)
Space Variant. Adaptive. Restoration.
See also Non-Local Means for Denoising.

Robbins, G.B.,
Image Restoration for a Class of Linear Spatially-Variant Degradations,
PR(2), No. 2, May 1970, pp. 91-94.
Elsevier DOI BibRef 7005

Trussell, H.T., and Hunt, B.R.,
Sectioned Methods for Image Restoration,
ASSP(26), April 1978, pp. 157-164. BibRef 7804

Trussell, H.T., and Hunt, B.R.,
Image Restoration of Space-Variant Blurs by Sectional Methods,
ASSP(26), 1978, pp. 608-609. BibRef 7800

Trussell, H.T., and Hunt, B.R.,
Improved Methods of Maximum a posteriori Image Restoration,
TC(27), No. 1, January 1979, pp. 57-62. BibRef 7901

Sawchuk, A.A.,
Space-Variant Image Restoration by Coordinate Transformations,
JOSA(64), 1974, pp. 138-144. BibRef 7400

Sahasrabudhe, S.C., Kulkarni, M.S.,
Shift Variant Image Degradation and Restoration Using SVD,
CGIP(9), No. 3, March 1979, pp. 203-212.
Elsevier DOI SVD. BibRef 7903

Chan, P., Lim, J.S.,
One-Dimensional Processing for Adaptive Image Restoration,
ASSP(33), 1985, pp. 117-126. BibRef 8500

Cooper, J.C.[J. Carl],
Noise reduction system for video signals,
US_Patent4,573,070, Feb 25, 1986
WWW Link. BibRef 8602

Youlal, H., Janati-I, M., Najim, M.,
Two-dimensional joint process lattice for adaptive restoration of images,
IP(1), No. 3, July 1992, pp. 366-378.
IEEE DOI 0402
BibRef

Pun, W.H.[Wai Ho], Jeffs, B.D.,
Adaptive image restoration using a generalized Gaussian model for unknown noise,
IP(4), No. 10, October 1995, pp. 1451-1456.
IEEE DOI 0402
BibRef

Lee, S.W.[Seong-Whan], Kim, E.S.[Eun-Soon], Tang, Y.Y.,
Nonlinear Shape Restoration of Distorted Images with Coons Transformation,
PR(29), No. 2, February 1996, pp. 217-229.
Elsevier DOI BibRef 9602
Earlier: A1, A2, Only:
Shape restoration of nonlinear distorted images,
ICPR94(C:208-210).
IEEE DOI 9410
BibRef

Krishnamurthy, R., Woods, J.W., Francos, J.M.,
Adaptive Restoration of Textured Images with Mixed Spectra,
IP(5), No. 4, April 1996, pp. 648-652.
IEEE DOI 9605
BibRef

Cha, I., Kassam, S.A.,
RBFN Restoration of Nonlinearly Degraded Images,
IP(5), No. 6, June 1996, pp. 964-975.
IEEE DOI 9607
BibRef
Earlier:
Nonlinear image restoration by radial basis function networks,
ICIP94(II: 580-584).
IEEE DOI 9411
BibRef

Sanz, J.L.C., Huang, T.S.,
A Unified Approach to Noniterative Linear Signal Restoration,
ASSP(32), 1984, pp. 403-409. BibRef 8400

Banham, M.R., Katsaggelos, A.K.,
Spatially Adaptive Wavelet-Based Multiscale Image Restoration,
IP(5), No. 4, April 1996, pp. 619-634.
IEEE DOI Wavelets. 9605
BibRef
Earlier:
Multiscale adaptive image restoration in the wavelet domain,
ICIP94(III: 187-191).
IEEE DOI 9411
BibRef

Stubberud, P.A., Kanai, J., Kalluri, V.,
Improving Optical Character-Recognition Accuracy Using Adaptive Image Restoration,
JEI(5), No. 3, July 1996, pp. 379-387. 9703
BibRef

Melnik, V.P., Lukin, V.V., Zelensky, A.A., Huttunen, H., Astola, J.T.,
Nonlinear Locally Adaptive and Iterative Algorithms of Image Restoration,
JEI(6), No. 4, October 1997, pp. 439-452. 9807
BibRef

Moon, T.J., Kang, M.G., Park, K.T.,
Adaptive Termination Rule for Iterative Image Restoration,
OptEng(37), No. 1, January 1998, pp. 334-339. 9802
BibRef

Naveau, P., Oh, H.S.[Hee-Seok],
Polynomial wavelet regression for images with irregular boundaries,
IP(13), No. 6, June 2004, pp. 773-781.
IEEE DOI 0406
Denoising where sampling is uniform, except on the boundary. BibRef

Zhang, X., Wang, S.,
Image restoration using truncated SVD filter bank based on an energy criterion,
VISP(153), No. 6, December 2006, pp. 825-836.
DOI Link 0702
BibRef

Ghazal, M., Amer, A., Ghrayeb, A.,
Structure-Oriented Multidirectional Wiener Filter for Denoising of Image and Video Signals,
CirSysVideo(18), No. 12, December 2008, pp. 1797-1802.
IEEE DOI 0812
BibRef

Wong, A.[Alexander], Mishra, A.K.[Akshaya K.],
Generalized Probabilistic Scale Space for Image Restoration,
IP(19), No. 10, October 2010, pp. 2774-2780.
IEEE DOI 1003
BibRef

Mishra, A.K.[Akshaya K.], Wong, A.[Alexander], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach,
ICCVGIP08(621-627).
IEEE DOI 0812
BibRef
Earlier: A2, A1, A4, A3:
An adaptive Monte Carlo approach to nonlinear image denoising,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chwyl, B.[Brendan], Wong, A.[Alexander], Clausi, D.A.[David A.],
Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features,
ICIAR15(210-217).
Springer DOI 1507
BibRef

Wong, A.[Alexander], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement,
CRV09(108-115).
IEEE DOI 0905
BibRef

Pham, T.D.[Tuan D.],
An image restoration by fusion,
PR(34), No. 12, December 2001, pp. 2403-2411.
Elsevier DOI 0110
BibRef

Pham, T.D.[Tuan D.],
Fuzzy posterior-probabilistic fusion,
PR(44), No. 5, May 2011, pp. 1023-1030.
Elsevier DOI 1101
Information fusion; Permanence of ratios; Probabilistic measures; Fuzzy measures; Fuzzy integrals
See also Fuzzy declustering-based vector quantization. BibRef

Pham, T.D.[Tuan D.],
Image Classification with Indicator Kriging Error Comparison,
ICISP14(433-440).
Springer DOI 1406
BibRef

Pham, T.D.,
Image Restoration by Ordinary Kriging with Convexity,
ICPR00(Vol III: 330-333).
IEEE DOI 0009
BibRef

Pham, T.D.[Tuan D.],
Double Adaptive Filtering of Gaussian Noise Degraded Images,
SCIA07(848-857).
Springer DOI 0706
BibRef

Pham, T.D., Wagner, M.,
Image Restoration by Fuzzy Convex Ordinary Kriging,
ICIP00(Vol I: 113-116).
IEEE DOI 0008
BibRef

Pham, T.D.[Tuan D.], Eisenblatter, U.[Uwe],
A New Spatial Approach to Image Restoration,
IPTA08(1-8).
IEEE DOI 0811
BibRef

Pham, T.D.,
Estimating Parameters of Optimal Average and Adaptive Wiener Filters for Image Restoration with Sequential Gaussian Simulation,
SPLetters(22), No. 11, November 2015, pp. 1950-1954.
IEEE DOI 1509
AWGN BibRef

Hua, G., Guleryuz, G.,
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference,
IP(20), No. 4, April 2011, pp. 889-909.
IEEE DOI 1103
BibRef

Jung, K.H.[Kyu-Hwan], Kim, N.[Namhyoung], Lee, J.W.[Jae-Wook],
Dynamic pattern denoising method using multi-basin system with kernels,
PR(44), No. 8, August 2011, pp. 1698-1707.
Elsevier DOI 1104
Kernel methods; Support vector machines; Pattern denoising; Image restoration; Dynamical system BibRef

Buades, A.[Antoni], Coll, B.[Bartomeu], Morel, J.M.[Jean-Michel],
A review of image denoising algorithms, with a new one,
Multiscale Modeling and Simulation(4), 2005, pp. 490-530.
DOI Link 1411

See also Parameter-Free Fast Pixelwise Non-Local Means Denoising. BibRef

Buades, A.[Antoni], Coll, B.[Bartomeu], Morel, J.M.[Jean-Michel],
Image data processing method by reducing image noise, and camera integrating means for implementing said method,
ED_Patent1,749,278, February 2007. 1411
BibRef

Buades, A.[Antoni], Coll, B.[Bartomeu], Morel, J.M.[Jean-Michel],
Image denoising methods: A new nonlocal principle,
SIAM_Rev(52), No. 1, 2010, pp. 113-147.
DOI Link 1411
BibRef

Giannoula, A.,
Classification-Based Adaptive Filtering for Multiframe Blind Image Restoration,
IP(20), No. 2, February 2011, pp. 382-390.
IEEE DOI 1102
BibRef

Li, X.,
Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring,
IP(20), No. 4, April 2011, pp. 971-983.
IEEE DOI 1103
BibRef

Cho, T.S.[Taeg Sang], Zitnick, C.L.[Charles Lawrence], Joshi, N.[Neel], Kang, S.B.[Sing Bing], Szeliski, R.S.[Richard S.], Freeman, W.T.[William T.],
Image Restoration by Matching Gradient Distributions,
PAMI(34), No. 4, April 2012, pp. 683-694.
IEEE DOI 1203
BibRef
Earlier: A1, A3, A2, A4, A5, A6:
A content-aware image prior,
CVPR10(169-176).
IEEE DOI 1006
Restoration, something other than piecewise smooth constraints. BibRef

Chakrabarti, A.[Ayan], Zickler, T.E.[Todd E.], Freeman, W.T.[William T.],
Analyzing spatially-varying blur,
CVPR10(2512-2519).
IEEE DOI 1006
BibRef

Abolghasemi, V., Ferdowsi, S., Sanei, S.,
Blind Separation of Image Sources via Adaptive Dictionary Learning,
IP(21), No. 6, June 2012, pp. 2921-2930.
IEEE DOI 1202
BibRef

Zhang, X.D.[Xuan-De], Feng, X.C.[Xiang-Chu], Wang, W.W.[Wei-Wei],
Two-Direction Nonlocal Model for Image Denoising,
IP(22), No. 1, January 2013, pp. 408-412.
IEEE DOI 1301
BibRef

Dong, W., Shi, G., Li, X.,
Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach,
IP(22), No. 2, February 2013, pp. 700-711.
IEEE DOI 1302
BibRef

Wang, S.S.[Shan-Shan], Xia, Y.[Yong], Liu, Q.G.[Qie-Gen], Dong, P.[Pei], Feng, D.D., Luo, J.H.[Jian-Hua],
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images,
IP(22), No. 12, 2013, pp. 5214-5225.
IEEE DOI 1312
AWGN BibRef

Zhou, J.J.[Jin-Jie], He, Z.N.[Zhuo-Nan], Liu, X.D.[Xiao-Dong], Wang, Y.H.[Yu-Hao], Wang, S.S.[Shan-Shan], Liu, Q.G.[Qie-Gen],
Transformed denoising autoencoder prior for image restoration,
JVCIR(72), 2020, pp. 102927.
Elsevier DOI 2010
Image restoration, Denoising autoencoder, Pixel domain, Wavelet domain BibRef

Liu, Q.G.[Qie-Gen], Wang, S.S.[Shan-Shan], Ying, L., Peng, X.[Xi], Zhu, Y.J.[Yan-Jie], Liang, D.[Dong],
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery,
IP(22), No. 12, 2013, pp. 4652-4663.
IEEE DOI 1312
compressed sensing BibRef

Chen, B., Xing, L., Liang, J., Zheng, N., Principe, J.C.,
Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion,
SPLetters(21), No. 7, July 2014, pp. 880-884.
IEEE DOI 1405
Adaptive filters BibRef

Zuo, W.M.[Wang-Meng], Zhang, L.[Lei], Song, C.W.[Chun-Wei], Zhang, D.[David], Gao, H.J.[Hui-Jun],
Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising,
IP(23), No. 6, June 2014, pp. 2459-2472.
IEEE DOI 1406
BibRef
Earlier: A1, A2, A3, A4, Only:
Texture Enhanced Image Denoising via Gradient Histogram Preservation,
CVPR13(1203-1210)
IEEE DOI 1309
image denoising BibRef

Knaus, C.[Claude], Zwicker, M.[Matthias],
Progressive Image Denoising,
IP(23), No. 7, July 2014, pp. 3114-3125.
IEEE DOI 1407
BibRef
Earlier:
Dual-domain image denoising,
ICIP13(440-444)
IEEE DOI 1402
Image denoising Annealing BibRef

Azzari, L., Foi, A.[Alessandro],
Indirect Estimation of Signal-Dependent Noise With Nonadaptive Heterogeneous Samples,
IP(23), No. 8, August 2014, pp. 3459-3467.
IEEE DOI 1408
Gaussian distribution BibRef

Peretti, E.[Edoardo], Stucchi, D.[Diego], Carrera, D.[Diego], Boracchi, G.[Giacomo],
Self-similarity Block for Deep Image Denoising,
CIAP23(I:26-38).
Springer DOI 2312
BibRef

Foi, A.[Alessandro], Boracchi, G.[Giacomo],
Anisotropically foveated nonlocal image denoising,
ICIP13(464-468)
IEEE DOI 1402
Covariance matrices BibRef

Mohammadi, A., Plataniotis, K.N.,
Complex-Valued Gaussian Sum Filter for Nonlinear Filtering of Non-Gaussian/Non-Circular Noise,
SPLetters(22), No. 4, April 2015, pp. 440-444.
IEEE DOI 1411
adaptive filters BibRef

Mohammadi, A., Plataniotis, K.N.,
Structure-Induced Complex Kalman Filter for Decentralized Sequential Bayesian Estimation,
SPLetters(22), No. 9, September 2015, pp. 1419-1423.
IEEE DOI 1503
Computer architecture BibRef

Mohammadi, A., Davar, S., Plataniotis, K.N.,
Ternary-Event-Based State Estimation With Joint Point, Quantized, and Set-Valued Measurements,
SPLetters(25), No. 5, May 2018, pp. 665-669.
IEEE DOI 1805
particle filtering (numerical methods), sensor fusion, set theory, state estimation, TEB-PF, set-valued measurements BibRef

Ben Hadj, S., Blanc-Féraud, L., Aubert, G.,
Space Variant Blind Image Restoration,
SIIMS(7), No. 4, 2014, pp. 2196-2225.
DOI Link 1412
BibRef

Youssef, K., Jarenwattananon, N.N., Bouchard, L.S.,
Feature-Preserving Noise Removal,
MedImg(34), No. 9, September 2015, pp. 1822-1829.
IEEE DOI 1509
AWGN BibRef

Rifkah, E.[Eva], Amer, A.[Aishy],
Non-linear diffusion of image noise with minimal iterativity,
RealTimeIP(11), No. 3, March 2016, pp. 445-455.
WWW Link. 1604
BibRef

Rakhshanfar, M.[Meisam], Amer, M.A.[Maria A.],
Low-Frequency Image Noise Removal Using White Noise Filter,
ICIP18(3948-3952)
IEEE DOI 1809
BibRef
Earlier: ICIP16(1973-1977)
IEEE DOI 1610
BibRef
Earlier:
No-reference image quality assessment for removal of processed and unprocessed noise,
ICIP15(2179-2183)
IEEE DOI 1512
Spatial resolution, Noise reduction, Image edge detection, Low-frequency noise, Gaussian noise, Image restoration, coarse grain filtering. Cutoff frequency. No-reference quality assessment BibRef

Fan, Y.R.[Ya-Ru], Huang, T.Z.[Ting-Zhu], Zhao, X.L.[Xi-Le], Deng, L.J.[Liang-Jian], Fan, S.X.[Shan-Xiong],
Multispectral Image Denoising via Nonlocal Multitask Sparse Learning,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Rakhshanfar, M.[Meisam], Amer, M.A.[Maria A.],
Sparsity-based no-reference image quality assessment for automatic denoising,
SIViP(12), No. 4, May 2018, pp. 739-747.
Springer DOI 1805
BibRef
Earlier:
Homogeneity classification for signal-dependent noise estimation in images,
ICIP14(4271-4275)
IEEE DOI 1502
BibRef
And:
Motion blur resistant method for temporal video denoising,
ICIP14(2694-2698)
IEEE DOI 1502
Estimation AWGN BibRef

Wang, Y.[Yi], Yang, Y.[Yetao], Chen, T.[Tao],
Spectral-spatial adaptive and well-balanced flow-based anisotropic diffusion for multispectral image denoising,
JVCIR(43), No. 1, 2017, pp. 185-197.
Elsevier DOI 1702
Multispectral images BibRef

Segon, G.[Gordan], Lerga, J.[Jonatan], Sucic, V.[Victor],
Improved LPA-ICI-based estimators embedded in a signal denoising virtual instrument,
SIViP(11), No. 2, February 2017, pp. 211-218.
Springer DOI 1702
virtual instrument signal denoising. BibRef

Laus, F.[Friederike], Nikolova, M.[Mila], Persch, J.[Johannes], Steidl, G.[Gabriele],
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics,
SIIMS(10), No. 1, 2017, pp. 416-448.
DOI Link 1704
BibRef

Huang, T.[Tao], Dong, W.S.[Wei-Sheng], Xie, X.M.[Xue-Mei], Shi, G.M.[Guang-Ming], Bai, X.[Xiang],
Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation,
IP(26), No. 7, July 2017, pp. 3171-3186.
IEEE DOI 1706
AWGN, Estimation, Image edge detection, Laplace equations, Noise measurement, Noise reduction, Optimization, Laplacian scale mixture, Mixed noise removal, alternative minimization, low-rank BibRef

Shi, G.M.[Guang-Ming], Huang, T.[Tao], Dong, W.S.[Wei-Sheng], Wu, J., Xie, X.M.[Xue-Mei],
Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling,
IP(27), No. 10, October 2018, pp. 4810-4824.
IEEE DOI 1808
Bayes methods, Gaussian processes, image denoising, image segmentation, mixture models, object detection, alternative minimization BibRef

Dong, W.S.[Wei-Sheng], Li, G.Y.[Guang-Yu], Shi, G.M.[Guang-Ming], Li, X.[Xin], Ma, Y.[Yi],
Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising,
ICCV15(442-449)
IEEE DOI 1602
Dictionaries BibRef

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

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.[Jielin], 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.[Yifan], Jia, Y.Q.[Yi-Qiao], Du, H.W.[Hong-Wei], Gao, C.[Chengyong], 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


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, Pattern recognition, 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, Pattern recognition 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:Mar 16, 2024 at 20:36:19