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ICIP96(I: 399-402).
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9810
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Generalized Perona-Malik Equation for Image Restoration,
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Hardie, R.C.,
Barner, K.E.,
Extended Permutation Filters and Their Application to Edge Enhancement,
IP(5), No. 6, June 1996, pp. 855-867.
IEEE DOI
9607
BibRef
Earlier: A2, A1:
Extended permutation filters and their application to image edge
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ICIP95(I: 366-369).
IEEE DOI
9510
BibRef
Hardie, R.C.,
Barner, K.E.,
Rank Conditioned Rank Selection Filters for Signal Restoration,
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Barner, K.E.,
Sarhan, A.M.,
Hardie, R.C.,
Partition-Based Weighted Sum Filters for Image Restoration,
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Shao, M.,
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Optimization of Partition-Based Weighted Sum Filters and Their
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Subspace Partition Weighted Sum Filters for Image Restoration,
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Prescanned minmax centre-weighted filters for image restoration,
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Chow, T.W.S.,
Li, X.,
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0005
BibRef
Phoong, S.M.[See-May],
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Optimal biorthogonal transform for colored noise suppression with
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IEEE Top Reference.
0206
BibRef
Lin, Y.P.[Yuan-Pei],
Phoong, S.M.[See-May],
Statistical Bit Allocation and Statistical Precoding for Correlated
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IEEE DOI
1210
BibRef
Wang, J.H.[Jung-Hua],
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SMC-B(32), No. 2, April 2002, pp. 230-238.
IEEE Top Reference.
0205
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A unified method for optimizing linear image restoration filters,
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Elsevier DOI
0210
BibRef
Arbel, D.,
Cohen, E.,
Citroen, M.,
Blumberg, D.G.,
Kopeika, N.S.,
Landsat TM Satellite Image Restoration Using Kalman Filters,
PhEngRS(70), No. 1, January 2004, pp. 91-100.
The implementation of atmospheric filters based on atmospheric MTF for
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WWW Link.
0403
BibRef
Lun, D.P.K.,
Chan, T.C.L.,
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Feng, D.D.,
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Efficient blind image restoration using discrete periodic Radon
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IEEE DOI
0404
BibRef
Allende, H.[Héctor],
Galbiati, J.[Jorge],
A non-parametric filter for digital image restoration, using cluster
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PRL(25), No. 8, June 2004, pp. 841-847.
Elsevier DOI
0405
BibRef
Kazubek, M.,
Improving local wiener filtering using matched filter,
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WWW Link.
0705
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Takeuchi, Y.[Yoshinobu],
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Blind Recover Conditions for Images with Side Information,
IEICE(E90-D), No. 9, September 2007, pp. 1469-1473.
DOI Link
0709
BibRef
Fang, H.C.[Hua-Chen],
Wu, J.J.[Jin-Jian],
Hou, Q.[Qibin],
Dong, W.S.[Wei-Sheng],
Shi, G.M.[Guang-Ming],
Fast Window-Based Event Denoising With Spatiotemporal Correlation
Enhancement,
PAMI(47), No. 3, March 2025, pp. 1381-1394.
IEEE DOI
2502
Noise reduction, Noise, Correlation, Spatiotemporal phenomena,
Feature extraction, Cameras, Real-time systems, Hardware,
window-based denoising
BibRef
Zhang, L.[Lei],
Dong, W.S.[Wei-Sheng],
Zhang, D.[David],
Shi, G.M.[Guang-Ming],
Two-stage image denoising by principal component analysis with local
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PR(43), No. 4, April 2010, pp. 1531-1549.
Elsevier DOI
1002
Denoising; Principal component analysis (PCA); Edge preservation
See also Sparsity-based image denoising via dictionary learning and structural clustering.
BibRef
Xu, J.[Jun],
Zhang, L.[Lei],
Zhang, D.D.[David D.],
A Trilateral Weighted Sparse Coding Scheme for Real-World Image
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ECCV18(VIII: 21-38).
Springer DOI
1810
BibRef
Bouboulis, P.,
Slavakis, K.,
Theodoridis, S.,
Adaptive Kernel-Based Image Denoising Employing Semi-Parametric
Regularization,
IP(19), No. 6, June 2010, pp. 1465-1479.
IEEE DOI
1006
BibRef
Bouboulis, P.[Pantelis],
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Slavakis, K.[Konstantinos],
Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces,
ICPR10(2660-2663).
IEEE DOI
1008
BibRef
Guo, Z.,
Sun, J.,
Zhang, D.,
Wu, B.,
Adaptive Perona-Malik Model Based on the Variable Exponent for Image
Denoising,
IP(21), No. 3, March 2012, pp. 958-967.
IEEE DOI
1203
See also Scale Space and Edge Detection using Anisotropic Diffusion.
BibRef
Yang, S.M.[Shih-Ming],
Tai, S.C.[Shen-Chuan],
A design framework for hybrid approaches of image noise estimation and
its application to noise reduction,
JVCIR(23), No. 5, July 2012, pp. 812-826.
Elsevier DOI
1205
Noise estimation; Noise reduction; Image restoration; Image
enhancement; Bilateral filter; Non-local mean filter; Laplacian
operator; Sobel operator
BibRef
Xue, F.[Feng],
Luisier, F.[Florian],
Blu, T.[Thierry],
Multi-Wiener SURE-LET Deconvolution,
IP(22), No. 5, May 2013, pp. 1954-1968.
IEEE DOI
1303
BibRef
Earlier:
SURE-LET image deconvolution using multiple Wiener filters,
ICIP12(3037-3040).
IEEE DOI
1302
BibRef
Talebi, H.[Hossein],
Zhu, X.[Xiang],
Milanfar, P.[Peyman],
How to SAIF-ly Boost Denoising Performance,
IP(22), No. 4, April 2013, pp. 1470-1485.
IEEE DOI
1303
BibRef
Talebi, H.[Hossein],
Milanfar, P.[Peyman],
Global Image Denoising,
IP(23), No. 2, February 2014, pp. 755-768.
IEEE DOI
1402
BibRef
And:
Global denoising is asymptotically optimal,
ICIP14(818-822)
IEEE DOI
1502
BibRef
Earlier:
Improving denoising filters by optimal diffusion,
ICIP12(1181-1184).
IEEE DOI
1302
Image denoising.
approximation theory
BibRef
Talebi, H.[Hossein],
Milanfar, P.[Peyman],
Asymptotic Performance of Global Denoising,
SIIMS(9), No. 2, 2016, pp. 665-683.
DOI Link
1608
BibRef
Talebi, H.[Hossein],
Milanfar, P.[Peyman],
Nonlocal Image Editing,
IP(23), No. 10, October 2014, pp. 4460-4473.
IEEE DOI
1410
edge detection
BibRef
Talebi, H.[Hossein],
Milanfar, P.[Peyman],
NIMA: Neural Image Assessment,
IP(27), No. 8, August 2018, pp. 3998-4011.
IEEE DOI
1806
feedforward neural nets, image enhancement,
learning (artificial intelligence), object recognition,
no-reference quality assessment
BibRef
Milanfar, P.[Peyman],
Talebi, H.[Hossein],
A new class of image filters without normalization,
ICIP16(3294-3298)
IEEE DOI
1610
Brightness
BibRef
Hawe, S.[Simon],
Kleinsteuber, M.[Martin],
Diepold, K.[Klaus],
Analysis Operator Learning and its Application to Image Reconstruction,
IP(22), No. 6, 2013, pp. 2138-2150.
IEEE DOI
1307
conjugate gradient methods; image denoising
BibRef
Conte, F.,
Germani, A.,
Iannello, G.,
A Kalman Filter Approach for Denoising and Deblurring 3-D Microscopy
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IP(22), No. 12, 2013, pp. 5306-5321.
IEEE DOI
1312
Kalman filters
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Peng, H.H.[Hong-Hong],
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Dianat, S.A.[Sohail A.],
Multispectral Image Denoising With Optimized Vector Bilateral Filter,
IP(23), No. 1, January 2014, pp. 264-273.
IEEE DOI
1402
BibRef
Earlier:
Optimized vector bilateral filter for multispectral image denoising,
ICIP12(2141-2144).
IEEE DOI
1302
BibRef
Earlier: A1, A2, Only:
Hyperspectral image enhancement with vector bilateral filtering,
ICIP09(3713-3716).
IEEE DOI
0911
filtering theory
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Liu, Z.[Zhi],
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Cyber(44), No. 4, April 2014, pp. 516-525.
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1404
convex programming
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Hansen, T.J.[Toke Jansen],
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Denoising by semi-supervised kernel PCA preimaging,
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Elsevier DOI
1410
Semi-supervised denoising
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Moallem, P.[Payman],
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A novel adaptive Gaussian restoration filter for reducing periodic
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1506
BibRef
Zhang, T.,
Gao, Q.,
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Texture Preserving Image Restoration with Dyadic Bounded Mean
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IEEE DOI
1410
Adaptation models
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Kheradmand, A.,
Milanfar, P.,
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IP(23), No. 12, December 2014, pp. 5136-5151.
IEEE DOI
1412
conjugate gradient methods
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Huang, C.[Chen],
Ding, X.Q.[Xiao-Qing],
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Wen, D.[Di],
Robust Image Restoration via Adaptive Low-Rank Approximation and
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1412
approximation theory
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IET-IPR(8), No. 12, 2014, pp. 815-823.
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1412
Wiener filters
BibRef
Gupta, V.[Vikas],
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Elsevier DOI
1502
Image de-noising
BibRef
Arivazhagan, S.,
Sugitha, N.,
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1504
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Fang, X.,
Xu, Y.,
Li, X.,
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Wong, W.K.,
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1506
Image reconstruction
BibRef
Huang, C.T.[Chao-Tsung],
Bayesian Inference for Neighborhood Filters With Application in
Denoising,
IP(24), No. 11, November 2015, pp. 4299-4311.
IEEE DOI
1509
BibRef
Earlier:
CVPR15(1657-1665)
IEEE DOI
1510
Bayes methods
BibRef
Huang, C.T.[Chao-Tsung],
Fast Distribution Fitting for Parameter Estimation of Range-Weighted
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1603
entropy
BibRef
Nejati, M.[Mansour],
Samavi, S.[Shadrokh],
Derksen, H.[Harm],
Najarian, K.[Kayvan],
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Elsevier DOI
1603
Image denoising
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Nejati, M.[Mansour],
Samavi, S.[Shadrokh],
Karimi, N.,
Soroushmehr, S.M.R.[S.M. Reza],
Najarian, K.[Kayvan],
Boosted Dictionary Learning for Image Compression,
IP(25), No. 10, October 2016, pp. 4900-4915.
IEEE DOI
1610
data compression
BibRef
Nejati, M.[Mansour],
Samavi, S.[Shadrokh],
Soroushmehr, S.M.R.[S.M. Reza],
Najarian, K.[Kayvan],
Low-rank regularized collaborative filtering for image denoising,
ICIP15(730-734)
IEEE DOI
1512
Image denoising
BibRef
Liu, Q.[Qian],
Zhang, C.M.[Cai-Ming],
Guo, Q.A.[Qi-Ang],
Xu, H.[Hui],
Zhou, Y.F.[Yuan-Feng],
Adaptive sparse coding on PCA dictionary for image denoising,
VC(32), No. 4, April 2016, pp. 535-549.
WWW Link.
1604
BibRef
Perrot, G.[Gilles],
Domas, S.[Stéphane],
Couturier, R.[Raphaël],
Bertaux, N.[Nicolas],
Fast GPU-based denoising filter using isoline levels,
RealTimeIP(12), No. 1, June 2016, pp. 31-42.
Springer DOI
1606
BibRef
Coliban, R.M.,
Ivanovici, M.,
Richard, N.,
Improved probabilistic pseudo-morphology for noise reduction in
colour images,
IET-IPR(10), No. 7, 2016, pp. 505-514.
DOI Link
1608
filtering theory
BibRef
Moir, T.J.,
FIR system identification for correlated noise using the convolution
matrix, an investigation,
SIViP(10), No. 6, June 2016, pp. 1049-1054.
WWW Link.
1608
BibRef
Mbarki, Z.[Zouhair],
Seddik, H.[Hassene],
Ben Braiek, E.[Ezzedine],
A rapid hybrid algorithm for image restoration combining parametric
Wiener filtering and wave atom transform,
JVCIR(40, Part B), No. 1, 2016, pp. 694-707.
Elsevier DOI
1610
Image restoration
BibRef
Verma, A.K.[Atul Kumar],
Saini, B.S.[Barjinder Singh],
Kaur, T.[Taranjit],
Image Denoising using Alexander Fractional Hybrid Filter,
IJIG(18), No. 01, 2018, pp. 1850003.
DOI Link
1801
BibRef
Romano, Y.[Yaniv],
Elad, M.[Michael],
Milanfar, P.[Peyman],
The Little Engine That Could: Regularization by Denoising (RED),
SIIMS(10), No. 4, 2017, pp. 1804-1844.
DOI Link
1801
BibRef
Hong, T.[Tao],
Romano, Y.[Yaniv],
Elad, M.[Michael],
Acceleration of RED via vector extrapolation,
JVCIR(63), 2019, pp. 102575.
Elsevier DOI
1909
Inverse problem, RED: REgularization by Denoising, Fixed-point,
Vector extrapolation, Acceleration
BibRef
Romano, Y.[Yaniv],
Elad, M.[Michael],
Improving K-SVD denoising by post-processing its method-noise,
ICIP13(435-439)
IEEE DOI
1402
Dictionaries
BibRef
Belhasin, O.[Omer],
Romano, Y.[Yaniv],
Freedman, D.[Daniel],
Rivlin, E.[Ehud],
Elad, M.[Michael],
Principal Uncertainty Quantification With Spatial Correlation for
Image Restoration Problems,
PAMI(46), No. 5, May 2024, pp. 3321-3333.
IEEE DOI
2404
Uncertainty, Task analysis, Inverse problems, Correlation,
Superresolution, Image restoration, Standards,
correlation and regression analysis
BibRef
Frosio, I.[Iuri],
Kautz, J.,
Statistical Nearest Neighbors for Image Denoising,
IP(28), No. 2, February 2019, pp. 723-738.
IEEE DOI
1811
filtering theory, image denoising, statistical analysis,
white noise, statistical nearest neighbors, toy problem, SNN,
nearest neighbors
BibRef
Kumar, S.V.[Sagenela Vijaya],
Nagaraju, C.,
T2FCS filter: Type 2 fuzzy and cuckoo search-based filter design for
image restoration,
JVCIR(58), 2019, pp. 619-641.
Elsevier DOI
1901
Cuckoo search optimization algorithm, Type II fuzzy system,
Image de-noising and restoration, Second derivative like measure of enhancement
BibRef
Jung, S.Y.[Sun Young],
Chyung, Y.J.[Yun Joo],
Kim, P.W.[Pyoung Won],
Kernel design for real-time denoising implementation in low-resolution
images,
RealTimeIP(16), No. 1, February 2019, pp. 31-47.
WWW Link.
1902
BibRef
Johnson, B.[Bibin],
Moncy, J.K.[Jiljo K.],
Rani, J.S.[J. Sheeba],
Self adaptable high throughput reconfigurable bilateral filter
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RealTimeIP(16), No. 5, October 2019, pp. 1745-1764.
WWW Link.
1911
BibRef
Zhao, Y.,
Chen, J.,
Chen, J.,
Recursive Variable Span Linear Filter for Noise Reduction,
SPLetters(26), No. 12, December 2019, pp. 1902-1906.
IEEE DOI
2001
approximation theory, computational complexity, adaptive subspace tracking
covariance matrices, eigenvalues and eigenfunctions,
BibRef
Gavaskar, R.G.,
Chaudhury, K.N.,
Plug-and-Play ISTA Converges With Kernel Denoisers,
SPLetters(27), 2020, pp. 610-614.
IEEE DOI
2005
Convergence, Noise reduction, Kernel, Standards,
Eigenvalues and eigenfunctions, Signal processing algorithms,
convergence
BibRef
Varghese, J.[Justin],
Subhash, S.[Saudia],
Subramaniam, K.[Kamalraj],
Sridhar, K.P.[Kuttaiyur Palaniswamy],
Adaptive Gaussian notch filter for removing periodic noise from digital
images,
IET-IPR(14), No. 8, 19 June 2020, pp. 1529-1538.
DOI Link
2005
BibRef
Zhu, S.J.[Shu-Jin],
Yu, Z.K.[Ze-Kuan],
Self-guided filter for image denoising,
IET-IPR(14), No. 11, September 2020, pp. 2561-2566.
DOI Link
2009
BibRef
Liu, Y.P.[Ye-Peng],
Li, X.M.[Xue-Mei],
Guo, Q.A.[Qi-Ang],
Zhang, C.M.[Cai-Ming],
Adaptive iterative global image denoising method based on SVD,
IET-IPR(14), No. 13, November 2020, pp. 3028-3038.
DOI Link
2012
BibRef
Wu, G.M.[Ge-Ming],
Luo, S.Q.[Shu-Qian],
Yang, Z.[Zhi],
Optimal weighted bilateral filter with dual-range kernel for Gaussian
noise removal,
IET-IPR(14), No. 9, 20 July 2020, pp. 1840-1850.
DOI Link
2007
BibRef
Thakur, R.S.[Rini Smita],
Yadav, R.N.[Ram Narayan],
Gupta, L.[Lalita],
PReLU and edge-aware filter-based image denoiser using convolutional
neural network,
IET-IPR(14), No. 15, 15 December 2020, pp. 3869-3879.
DOI Link
2103
BibRef
Hel-Or, Y.[Yacov],
Ben-Artzi, G.[Gil],
The Role of Redundant Bases and Shrinkage Functions in Image
Denoising,
IP(30), 2021, pp. 3778-3792.
IEEE DOI
2104
Wavelet transforms, Noise reduction, Optimization,
Noise measurement, Image denoising, Distortion, Wavelet domain,
overcomplete representation
BibRef
Li, P.[Ping],
Wang, H.[Hua],
Li, X.M.[Xue-Mei],
Zhang, C.M.[Cai-Ming],
An image denoising algorithm based on adaptive clustering and
singular value decomposition,
IET-IPR(15), No. 3, 2021, pp. 598-614.
DOI Link
2106
BibRef
Treece, G.[Graham],
Real Image Denoising With a Locally-Adaptive Bitonic Filter,
IP(31), 2022, pp. 3151-3165.
IEEE DOI
2205
Shape, Training, Noise reduction, Noise measurement, Morphology,
Image color analysis, Anisotropic magnetoresistance, sensor noise
BibRef
Ma, Y.P.[Ya-Ping],
Xiao, Y.G.[Ye-Gui],
Huang, B.[Boyan],
Bai, T.[Tao],
Tan, X.Y.[Xin-Yu],
A Robust Feedback Active Noise Control System With Online
Secondary-Path Modeling,
SPLetters(29), 2022, pp. 1042-1046.
IEEE DOI
2205
AWGN, Convergence, Narrowband, Finite impulse response filters,
Broadband communication, Couplings, Robustness,
online secondary-path modeling (OSPM)
BibRef
Bled, C.[Clément],
Pitié, F.[François],
Pushing the Limits of the Wiener Filter in Image Denoising,
ICIP23(2590-2594)
IEEE DOI
2312
BibRef
Xi, R.T.[Run-Tao],
Lyu, J.H.[Jia-Hao],
Ma, T.[Tian],
Sun, K.[Kang],
Zhang, Y.[Yu],
Chen, X.L.[Xiao-Lin],
Learning filter selection policies for interpretable image denoising
in parametrised action space,
IET-IPR(18), No. 4, 2024, pp. 951-960.
DOI Link
2403
computer graphics, image denoising,
learning (artificial intelligence)
BibRef
Xiao, Q.,
Wen, C.,
Yan, Z.,
Image denoising via K-SVD with primal-dual active set algorithm,
WACV20(2444-2452)
IEEE DOI
2006
Matching pursuit algorithms, Noise reduction, Dictionaries,
Encoding, Image denoising, Optimization, Image coding
BibRef
Magnier, B.[Baptiste],
Noblet, V.[Vincent],
Voisin, A.[Adrien],
Legouestre, D.[Dylan],
Derivative Half Gaussian Kernels and Shock Filter,
ACIVS18(584-597).
Springer DOI
1810
non-linear PDE for restoration.
BibRef
Lin, K.[Kai],
Li, G.[Ge],
Zhang, Y.W.[Yi-Wei],
Zhong, J.X.[Jia-Xing],
A New Accurate Image Denoising Method Based on Sparse Coding
Coefficients,
MMMod18(II:3-13).
Springer DOI
1802
BibRef
Choi, S.,
Isidoro, J.,
Getreuer, P.,
Milanfar, P.,
Fast, Trainable, Multiscale Denoising,
ICIP18(963-967)
IEEE DOI
1809
Noise reduction, Noise measurement, Kernel, Tensile stress,
Pipelines, Noise level, Blades, Image denoising, filter learning, multiscale
BibRef
Chen, P.[Peng],
Wu, S.Q.[Shi-Qian],
Fang, H.P.[Hong-Ping],
Chen, B.[Bin],
Wang, W.[Wei],
Gaussian Noise Detection and Adaptive Non-local Means Filter,
PSIVT17(396-405).
Springer DOI
1802
BibRef
Shibata, T.,
Tanaka, M.,
Okutomi, M.,
Misalignment-Robust Joint Filter for Cross-Modal Image Pairs,
ICCV17(3315-3324)
IEEE DOI
1802
image denoising, image filtering, image fusion,
artifact-free output image, cross-modal image pairs,
Volume measurement
BibRef
Mamaev, N.[Nikolay],
Yurin, D.[Dmitry],
Krylov, A.[Andrey],
Image Ridge Denoising Using No-Reference Metric,
ACIVS17(591-601).
Springer DOI
1712
BibRef
Wong, T.S.[Tak-Shing],
Milanfar, P.[Peyman],
Turbo denoising for mobile photographic applications,
ICIP16(988-992)
IEEE DOI
1610
Boosting. Fast and fits on camera.
BibRef
Aouinti, F.,
Nasri, M.,
Moussaoui, M.,
Bouali, B.,
Image restoration by applying the genetic approach to the iterative
Wiener filter,
ISCV15(1-5)
IEEE DOI
1506
Wiener filters
BibRef
Said, A.[Ahmed_Ben],
Foufou, S.[Sebti],
Multispectral Image Denoising Using Optimized Vector NLM Filter,
PSIVT15(309-320).
Springer DOI
1602
BibRef
Albarqouni, S.[Shadi],
Baust, M.[Maximilian],
Conjeti, S.[Sailesh],
Al-Amoudi, A.[Asharf],
Navab, N.[Nassir],
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron
Tomographic Data,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Mei, X.[Xing],
Qi, H.,
Hu, B.G.[Bao-Gang],
Lyu, S.W.[Si-Wei],
Improving Image Restoration with Soft-Rounding,
ICCV15(459-467)
IEEE DOI
1602
Convolution
BibRef
Mei, X.[Xing],
Dong, W.M.[Wei-Ming],
Hu, B.G.[Bao-Gang],
Lyu, S.W.[Si-Wei],
UniHIST: A unified framework for image restoration with marginal
histogram constraints,
CVPR15(3753-3761)
IEEE DOI
1510
BibRef
Earlier: A1, A3, A4, Only:
Non-blind image restoration with symmetric generalized Pareto priors,
ICIP14(4477-4481)
IEEE DOI
1502
Computational modeling
BibRef
Menon, S.V.[Sreeram V.],
Seelamantula, C.S.[Chandra Sekhar],
Sure-optimal two-dimensional Savitzky-Golay filters for image
denoising,
ICIP13(459-463)
IEEE DOI
1402
Approximation methods
BibRef
Milani, S.[Simone],
Bernardini, R.[Riccardo],
Rinaldo, R.[Roberto],
Adaptive denoising filtering for object detection applications,
ICIP12(1013-1016).
IEEE DOI
1302
BibRef
Jancsary, J.[Jeremy],
Nowozin, S.[Sebastian],
Rother, C.[Carsten],
Loss-Specific Training of Non-Parametric Image Restoration Models:
A New State of the Art,
ECCV12(VII: 112-125).
Springer DOI
1210
BibRef
Nguyen, T.A.[Tuan-Anh],
Hong, M.C.[Min-Cheol],
Filtering-Based Noise Estimation for Denoising the Image Degraded by
Gaussian Noise,
PSIVT11(II: 157-167).
Springer DOI
1111
BibRef
Aswatha, S.M.,
Mukhopadhyay, J.,
Bhowmick, P.,
Image Denoising by Scaled Bilateral Filtering,
NCVPRIPG11(122-125).
IEEE DOI
1205
BibRef
Sahu, A.[Anshuman],
Runger, G.[George],
Apley, D.[Daniel],
Image denoising with a multi-phase kernel principal component approach
and an ensemble version,
AIPR11(1-7).
IEEE DOI
1204
BibRef
Tian, H.Y.[Hai-Ying],
Cai, H.M.[Hong-Min],
Lai, J.H.,
Xu, X.Y.[Xiao-Yin],
Effective image noise removal based on difference eigenvalue,
ICIP11(3357-3360).
IEEE DOI
1201
BibRef
Trinh, D.H.[Dinh Hoan],
Wong, M.[Marie],
Rocchisani, J.M.[Jean-Marie],
Pham, C.D.[Canh Duong],
Dibos, F.[Françoise],
Medical image denoising using Kernel Ridge Regression,
ICIP11(1597-1600).
IEEE DOI
1201
BibRef
And:
Adaptive Medical Image Denoising Using Support Vector Regression,
CAIP11(I: 494-502).
Springer DOI
1109
BibRef
Hantos, N.[Norbert],
Balázs, P.[Péter],
A Fast Algorithm for Reconstructing hv-Convex Binary Images from Their
Horizontal Projection,
ISVC14(II: 789-798).
Springer DOI
1501
BibRef
And:
Fast Heuristics for Eliminating Switching Components in Binary Matrices
by 0-1 Flips,
CIARP14(62-69).
Springer DOI
1411
BibRef
Earlier:
Reconstruction and Enumeration of hv-Convex Polyominoes with Given
Horizontal Projection,
CIARP13(I:100-107).
Springer DOI
1311
BibRef
Hantos, N.[Norbert],
Balázs, P.[Péter],
Palágyi, K.[Kálmán],
Binary Image Reconstruction from Two Projections and Skeletal
Information,
IWCIA12(263-273).
Springer DOI
1211
BibRef
Hantos, N.[Norbert],
Balázs, P.[Péter],
Image Enhancement by Median Filters in Algebraic Reconstruction Methods:
An Experimental Study,
ISVC10(III: 339-348).
Springer DOI
1011
BibRef
Zhao, S.P.[Shuang-Ping],
A combined image denoising method,
IASP10(254-256).
IEEE DOI
1004
Wiener filter in wavelet and spatial domains.
BibRef
Rajwade, A.[Ajit],
Rangarajan, A.[Anand],
Banerjee, A.[Arunava],
Automated Filter Parameter Selection Using Measures of Noiseness,
CRV10(86-93).
IEEE DOI
1005
Automatic choice of parameters for optimal response.
BibRef
Sezer, O.G.[Osman G.],
Altunbasak, Y.[Yucel],
Weighted average denoising with Sparse Orthonormal Transforms,
ICIP09(3849-3852).
IEEE DOI
0911
BibRef
An, Z.J.[Zhi-Juan],
Fast subspace estimation with Rayleigh-Ritz approximation and
multi-stage Wiener filter,
IASP09(381-385).
IEEE DOI
0904
BibRef
Wang, L.[Lei],
Zou, Y.K.[Yun-Kang],
Zhang, H.J.[Hong-Jun],
A Medical Image Denoising Arithmetic Based on Wiener Filter Parallel
Model of Wavelet Transform,
CISP09(1-4).
IEEE DOI
0910
BibRef
Li, H.Y.[Hong-Yan],
Zhao, Q.H.[Qing-Hua],
Zhao, J.Q.[Jing-Qing],
Xiao, B.J.[Bao-Jin],
Blind Separation of Noisy Mixed Images Based on Wiener Filtering and
Independent Component Analysis,
CISP09(1-5).
IEEE DOI
0910
BibRef
Lou, Y.F.[Yi-Fei],
Favaro, P.[Paolo],
Soatto, S.[Stefano],
Bertozzi, A.L.[Andrea L.],
Nonlocal Similarity Image Filtering,
CIAP09(62-71).
Springer DOI
0909
Filters to find similar features at different location, orientation, scale.
Apply to denoising.
BibRef
Baek, Y.M.[Yeul-Min],
Kim, J.G.[Joong-Geun],
Cho, D.C.[Dong-Chan],
Lee, J.A.[Jin-Aeon],
Kim, W.Y.[Whoi-Yul],
Integrated Noise Modeling for Image Sensor Using Bayer Domain Images,
MIRAGE09(413-424).
Springer DOI
0905
BibRef
Wen, Y.W.[You-Wei],
Ng, M.[Michael],
Ching, W.K.[Wai-Ki],
CIDER: Corrected Inverse-Denoising Filter for Image Restoration,
EMMCVPR07(112-126).
Springer DOI
0708
BibRef
Liu, Q.S.[Qing-Shan],
Cheng, J.[Jian],
Lu, H.Q.[Han-Qing],
Ma, S.D.[Song-De],
Distance based kernel PCA image reconstruction,
ICPR04(III: 670-673).
IEEE DOI
0409
BibRef
Jin, E.,
Fieguth, P.W.,
Winger, L.,
Jernigan, E.,
Adaptive Wiener filtering of noisy images and image sequences,
ICIP03(III: 349-352).
IEEE DOI
0312
BibRef
Sugiyama, M.,
Imaizumi, D.,
Ogawa, H.,
Subspace Information Criterion for Image Restoration:
Mean Squared Error Estimatior for Linear Filters,
SCIA01(O-M5B).
0206
BibRef
Rodriguez-Florido, M.,
Ruiz-Alzola, J.,
Westin, C.F.,
Artifact Reduction in Sinc Interpolation Using Adaptive Filtering,
ICIP01(III: 884-887).
IEEE DOI
0108
BibRef
Murli, A.,
d'Amore, L.,
de Simone, V.,
The Wiener filter and regularization methods for image restoration
problems,
CIAP99(394-399).
IEEE DOI
9909
BibRef
Shcherbakov, M.[Michael],
Pareto optimal nonlinear filters for image enhancement,
ICIP96(I: 769-772).
IEEE DOI
BibRef
9600
Koivunen, V.[Visa],
Kassam, S.A.,
Covariance estimation in multivariate OS-filtering,
ICIP96(I: 981-984).
IEEE DOI
BibRef
9600
Kotropoulos, C.[Constantine],
Pitas, I.,
Gabrani, M.,
Multichannel adaptive L-filters in color image filtering,
ICIP96(I: 989-992).
IEEE DOI
BibRef
9600
Gabrani, M.,
Kotropoulos, C.,
Pitas, I.,
Cellular LMS L-filters for noise suppression in still images and image
sequences,
ICIP94(I: 358-362).
IEEE DOI
9411
BibRef
Kashyap, R.L.,
A robust variable length nonlinear filter for edge enhancement and
noise smoothing,
ICPR94(C:143-145).
IEEE DOI
9410
BibRef
Moody, E.B.,
Discrete orthogonal polynomial restoration of images degraded by
spatially varying point spread functions,
ICIP94(II: 680-684).
IEEE DOI
9411
BibRef
Selkainaho, K.,
A one-parametric reduced filter for image restoration,
ICPR94(C:68-71).
IEEE DOI
9410
BibRef
Suesse, H.,
Voss, K.,
Inversion of convolution by small kernels,
CAIP93(123-127).
Springer DOI
9309
BibRef
Lonnestad, T.,
Connected filters for noise removal,
ICPR88(II: 848-850).
IEEE DOI
8811
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Restoration: Diffusion Model .