5.3.2 Image Restoration: Filter Approaches

Rino, C.L.,
Bandlimited Image Restoration by Linear Mean-Square-Error Filter,
JOSA(59), No. 5, May 1969, pp. 547-553. BibRef 6905

Stuller, J.A.[John A.],
An Algebraic Approach to Image Restoration Filter Design,
CGIP(1), No. 2, August 1972, pp. 107-122.
Elsevier DOI BibRef 7208

Kondo, K., Ichioka, Y., and Suzuki, T.,
Image Restoration by Wiener Filtering in the Presence of Signal Dependent Noise,
AppOpt(16), September 1977, pp. 2554-2558. BibRef 7709

Rajala, S.A., de Figueiredo, R.J.P.,
Adaptive Nonlinear Image Restoration by a Modified Kalman Filtering Approach,
ASSP(29), October 1981, pp. 1033-1042. Kalman Filter. BibRef 8110

Nishihara, S., Ikeda, K.,
False-Contour Removal by Random Blurring,
CGIP(20), No. 4, December 1982, pp. 391-397.
Elsevier DOI BibRef 8212

Bernard, J., Plompen, R.H.J.M.,
Comments on 'A Recursive Kalman Window Approach to Image Restoration',
ASSP(31), 1983, pp. 1573-1576. BibRef 8300

Carlson, C.R.[Curtis R.], Adelson, E.H.[Edward H.], Anderson, C.H.[Charles H.],
System for coring an image-representing signal,
US_Patent4,523,230, Jun 11, 1985
WWW Link. BibRef 8506

Bayer, B.E.[Bryce E.],
Image processing method using a collapsed Walsh-Hadamard transform,
US_Patent4,549,212, 10/22/1985.
HTML Version. BibRef 8510
And:
Transform processing method for reducing noise in an image,
US_Patent4,553,165, Nov 12, 1985
WWW Link. Walsh-Hadamard transform to remove noise. BibRef

Ahmed, M.S., Tahboub, K.K.,
Recursive Wiener Filtering for Image Restoration,
ASSP(34), 1986, pp. 990-992. BibRef 8600

Oja, E., Ogawa, H.,
Parametric Projection Filter for Image and Signal Restoration,
ASSP(34), 1986, pp. 1643-1653. BibRef 8600

Restrepo, A., Bovik, A.C.,
Adaptive Trimmed Mean Filters for Image Restoration,
ASSP(36), 1988, pp. 1326-1337. BibRef 8800

Liu, Z.Q., Caelli, T.M.[Terry M.],
A Sequential Adaptive Recursive Filter for Image Restoration,
CVGIP(44), No. 3, December 1988, pp. 332-349.
Elsevier DOI BibRef 8812

Mallikarjuna, H.S., and Chaparro, L.F.,
Iterative Composite Filtering for Image Restoration,
PAMI(14), No. 6, June 1992, pp. 674-678.
IEEE DOI BibRef 9206

Katsaggelos, A.K., Kang, M.G.[Moon Gi],
Spatially Adaptive Iterative Algorithm for the Restoration of Astronomical Images,
IJIST(6), No. 4, Winter 1995, pp. 305-313.
See also Spatially Adaptive High-Resolution Image Reconstruction of DCT-Based Compressed Images. BibRef 9500
Earlier: A2, A1:
A general formulation of the weighted smoothing functional for regularized image restoration,
ICIP94(II: 695-699).
IEEE DOI 9411
BibRef

Kang, M.G.[Moon Gi], Johnson, T.C.,
X-Ray Analysis of Lake Sedimentary Patterns Using Nonlinear Regularization Filter,
ICIP96(I: 773-776).
IEEE DOI BibRef 9600

Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.], Mateos, J.[Javier], Hermoso, A.[Aurora], Segall, C.A.[C. Andrew],
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss-Markov random fields,
PR(33), No. 4, April 2000, pp. 555-571.
Elsevier DOI 0002
BibRef

Molina, R.[Rafael], Katsaggelos, A.K., Mateos, J., Abad, J.,
Restoration of Severely Blurred High Range Images Using Compound Models,
ICIP96(II: 469-472).
IEEE DOI BibRef 9600

Peters, II, R.A.,
A new algorithm for image noise reduction using mathematical morphology,
IP(4), No. 5, May 1995, pp. 554-568.
IEEE DOI 0402
BibRef

Koivunen, V.,
A robust nonlinear filter for image restoration,
IP(4), No. 5, May 1995, pp. 569-578.
IEEE DOI 0402
BibRef

Joo, K.S., Bose, T., Xu, G.F.,
Image Restoration Using a Conjugate Gradient-Based Adaptive Filtering Algorithm,
CSSP(16), No. 2, 1997, pp. 197-206. 9703
BibRef

Joo, K.S.[Kyung Sub], Bose, T.,
Two-dimensional periodic digital filters,
ICIP95(II: 117-120).
IEEE DOI 9510
BibRef

Wang, T., Wang, C.L.,
A New 2-Dimensional Block Adaptive Fir Filtering Algorithm and Its Application to Image-Restoration,
IP(7), No. 2, February 1998, pp. 238-246.
IEEE DOI 9802
BibRef

Natarajan, B.[Balas], Konstantinides, K., Herley, C.,
Occam Filters for Stochastic Sources with Application to Digital Images,
TSP(46), 1998, pp. 1434-xx. BibRef 9800
And: Correction: TSP(46), No. 6, June 1998, pp. 1777. BibRef
Earlier: ICIP96(I: 399-402).
IEEE DOI BibRef

Herley, C.,
A post-processing algorithm for compressed digital camera images,
ICIP98(I: 396-400).
IEEE DOI 9810
BibRef

Wei, G.W.,
Generalized Perona-Malik Equation for Image Restoration,
SPLetters(7), No. 7, July 1999, pp. 165.
IEEE Top Reference.
See also Scale Space and Edge Detection using Anisotropic Diffusion. BibRef 9907

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 enhancement,
ICIP95(I: 366-369).
IEEE DOI 9510
BibRef

Hardie, R.C., Barner, K.E.,
Rank Conditioned Rank Selection Filters for Signal Restoration,
IP(3), No. 2, March 1994, pp. 192-206.
IEEE DOI BibRef 9403

Barner, K.E., Sarhan, A.M., Hardie, R.C.,
Partition-Based Weighted Sum Filters for Image Restoration,
IP(8), No. 5, May 1999, pp. 740-745.
IEEE DOI BibRef 9905

Shao, M., Barner, K.E.,
Optimization of Partition-Based Weighted Sum Filters and Their Application to Image Denoising,
IP(15), No. 7, July 2006, pp. 1900-1915.
IEEE DOI 0606
BibRef

Lin, Y., Hardie, R.C., Barner, K.E.,
Subspace Partition Weighted Sum Filters for Image Restoration,
SPLetters(12), No. 9, September 2005, pp. 613-616.
IEEE DOI 0508
BibRef

Wang, J.H.,
Prescanned minmax centre-weighted filters for image restoration,
VISP(146), No. 2, April 1999, pp. 101. BibRef 9904

Chow, T.W.S., Li, X., Cho, S.Y.,
Improved blind image restoration scheme using recurrent filtering,
VISP(147), No. 1, February 2000, pp. 23. 0005
BibRef

Phoong, S.M.[See-May], Lin, Y.P.[Yuan-Pei],
Optimal biorthogonal transform for colored noise suppression with subband Wiener filtering,
SPLetters(9), No. 5, May 2002, pp. 154-156.
IEEE Top Reference. 0206
BibRef

Lin, Y.P.[Yuan-Pei], Phoong, S.M.[See-May],
Statistical Bit Allocation and Statistical Precoding for Correlated MIMO Channels With Decision Feedback,
SPLetters(19), No. 11, November 2012, pp. 761-764.
IEEE DOI 1210
BibRef

Wang, J.H.[Jung-Hua], Liu, W.J.[Wen-Jeng], Lin, L.D.[Lian-Da],
Histogram-based fuzzy filter for image restoration,
SMC-B(32), No. 2, April 2002, pp. 230-238.
IEEE Top Reference. 0205
BibRef

Sugiyama, M.[Masashi], Ogawa, H.[Hidemitsu],
A unified method for optimizing linear image restoration filters,
SP(82), No. 11, November 2002, pp. 1773-1787.
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 satellite image restoration is described.
WWW Link. 0403
BibRef

Lun, D.P.K., Chan, T.C.L., Hsung, T.C.[Tai-Chiu], Feng, D.D., Chan, Y.H.[Yuk-Hee],
Efficient blind image restoration using discrete periodic Radon transform,
IP(13), No. 2, February 2004, pp. 188-200.
IEEE DOI 0404
BibRef

Allende, H.[Héctor], Galbiati, J.[Jorge],
A non-parametric filter for digital image restoration, using cluster analysis,
PRL(25), No. 8, June 2004, pp. 841-847.
Elsevier DOI 0405
BibRef

Kazubek, M.,
Improving local wiener filtering using matched filter,
VISP(153), No. 4, August 2006, pp. 501-506.
WWW Link. 0705
BibRef

Takeuchi, Y.[Yoshinobu], Ooyagi, A.[Akira],
Blind Recover Conditions for Images with Side Information,
IEICE(E90-D), No. 9, September 2007, pp. 1469-1473.
DOI Link 0709
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 pixel grouping,
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 Denoising,
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], Theodoridis, S.[Sergios], 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 Images,
IP(22), No. 12, 2013, pp. 5306-5321.
IEEE DOI 1312
Kalman filters BibRef

Peng, H.H.[Hong-Hong], Rao, R.[Raghuveer], 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 BibRef

Liu, Z.[Zhi], Xu, S.Q.[Shu-Qiong], Chen, C.L.P., Zhang, Y.[Yun], Chen, X.[Xin], Wang, Y.N.[Yao-Nan],
A Three-Domain Fuzzy Support Vector Regression for Image Denoising and Experimental Studies,
Cyber(44), No. 4, April 2014, pp. 516-525.
IEEE DOI 1404
convex programming BibRef

Hansen, T.J.[Toke Jansen], Abrahamsen, T.J.[Trine Julie], Hansen, L.K.[Lars Kai],
Denoising by semi-supervised kernel PCA preimaging,
PRL(49), No. 1, 2014, pp. 114-120.
Elsevier DOI 1410
Semi-supervised denoising BibRef

Zhang, T., Gao, Q., Tan, G.,
Texture Preserving Image Restoration with Dyadic Bounded Mean Oscillating Constraints,
SPLetters(22), No. 3, March 2015, pp. 322-326.
IEEE DOI 1410
Adaptation models BibRef

Kheradmand, A., Milanfar, P.,
A General Framework for Regularized, Similarity-Based Image Restoration,
IP(23), No. 12, December 2014, pp. 5136-5151.
IEEE DOI 1412
conjugate gradient methods BibRef

Huang, C.[Chen], Ding, X.Q.[Xiao-Qing], Fang, C.[Chi], Wen, D.[Di],
Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression,
IP(23), No. 12, December 2014, pp. 5284-5297.
IEEE DOI 1412
approximation theory BibRef

Yoo, J.C.[Jae-Chern], Ahn, C.W.[Chang Wook],
Image restoration by blind-Wiener filter,
IET-IPR(8), No. 12, 2014, pp. 815-823.
DOI Link 1412
Wiener filters BibRef

Gupta, V.[Vikas], Chaurasia, V.[Vijayshri], Shandilya, M.[Madhu],
Random-valued impulse noise removal using adaptive dual threshold median filter,
JVCIR(26), No. 1, 2015, pp. 296-304.
Elsevier DOI 1502
Image de-noising BibRef

Zhou, Z.Y.[Zhen-Yu], Guo, Z.C.[Zhi-Chang], Dong, G.[Gang], Sun, J.B.[Jie-Bao], Zhang, D.Z.[Da-Zhi], Wu, B.Y.[Bo-Ying],
A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal,
IP(24), No. 1, January 2015, pp. 249-260.
IEEE DOI 1502
image denoising BibRef

Shan, X.J.[Xiu-Jie], Sun, J.B.[Jie-Bao], Guo, Z.C.[Zhi-Chang],
Multiplicative Noise Removal Based on the Smooth Diffusion Equation,
JMIV(61), No. 6, July 2019, pp. 763-779.
WWW Link. 1907
BibRef

Arivazhagan, S., Sugitha, N., Vijay, A.,
A novel image denoising scheme based on fusing multiresolution and spatial filters,
SIViP(9), No. 4, May 2015, pp. 885-892.
WWW Link. 1504
BibRef

Fang, X., Xu, Y., Li, X., Lai, Z., Wong, W.K.,
Learning a Nonnegative Sparse Graph for Linear Regression,
IP(24), No. 9, September 2015, pp. 2760-2771.
IEEE DOI 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 Neighborhood Filters,
SPLetters(23), No. 3, March 2016, pp. 331-335.
IEEE DOI 1603
entropy BibRef

Nejati, M.[Mansour], Samavi, S.[Shadrokh], Derksen, H.[Harm], Najarian, K.[Kayvan],
Denoising by low-rank and sparse representations,
JVCIR(36), No. 1, 2016, pp. 28-39.
Elsevier DOI 1603
Image denoising BibRef

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

Chen, Y.J.[Yun-Jin], Pock, T.[Thomas],
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration,
PAMI(39), No. 6, June 2017, pp. 1256-1272.
IEEE DOI 1705
Analytical models, Computational modeling, Diffusion processes, Image denoising, Image restoration, Mathematical model, JPEG deblocking, Nonlinear reaction diffusion, image denoising, image super resolution, loss, specific, training BibRef

Chen, Y.J.[Yun-Jin], Yu, W.[Wei], Pock, T.[Thomas],
On learning optimized reaction diffusion processes for effective image restoration,
CVPR15(5261-5269)
IEEE DOI 1510
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

Cho, S.I., Kang, S.J.,
Geodesic Path-Based Diffusion Acceleration for Image Denoising,
MultMed(20), No. 7, July 2018, pp. 1738-1750.
IEEE DOI 1806
Diffusion processes, Filtering, IP networks, Image denoising, Image edge detection, Noise reduction, Smoothing methods, structure tensor 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 architectures for real-time image de-noising,
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

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

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

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

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Image Ridge Denoising Using No-Reference Metric,
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Turbo denoising for mobile photographic applications,
ICIP16(988-992)
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Boosting. Fast and fits on camera. BibRef

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Multispectral Image Denoising Using Optimized Vector NLM Filter,
PSIVT15(309-320).
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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).
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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
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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

Chen, Y.J.[Yun-Jin], Pock, T.[Thomas], Ranftl, R.[René], Bischof, H.[Horst],
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GCPR13(271-281).
Springer DOI 1311
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Milani, S.[Simone], Bernardini, R.[Riccardo], Rinaldo, R.[Roberto],
Adaptive denoising filtering for object detection applications,
ICIP12(1013-1016).
IEEE DOI 1302
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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
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Aswatha, S.M., Mukhopadhyay, J., Bhowmick, P.,
Image Denoising by Scaled Bilateral Filtering,
NCVPRIPG11(122-125).
IEEE DOI 1205
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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).
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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
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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
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Adaptive Medical Image Denoising Using Support Vector Regression,
CAIP11(I: 494-502).
Springer DOI 1109
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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
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And:
Fast Heuristics for Eliminating Switching Components in Binary Matrices by 0-1 Flips,
CIARP14(62-69).
Springer DOI 1411
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Earlier:
Reconstruction and Enumeration of hv-Convex Polyominoes with Given Horizontal Projection,
CIARP13(I:100-107).
Springer DOI 1311
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Hantos, N.[Norbert], Balázs, P.[Péter], Palágyi, K.[Kálmán],
Binary Image Reconstruction from Two Projections and Skeletal Information,
IWCIA12(263-273).
Springer DOI 1211
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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
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Schoberl, M.[Michael], Schnurrer, W.[Wolfgang], Oberdorster, A.[Alexander], Fossel, S.[Siegfried], Kaup, A.[Andre],
Dimensioning of optical birefringent anti-alias filters for digital cameras,
ICIP10(4305-4308).
IEEE DOI 1009
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Rajwade, A.[Ajit], Rangarajan, A.[Anand], Banerjee, A.[Arunava],
Automated Filter Parameter Selection Using Measures of Noiseness,
CRV10(86-93).
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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
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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).
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Li, H.Y.[Hong-Yan], Zhao, Q.H.[Qing-Hua], Zhao, J.Q.[Jing-Qing], Xiao, B.J.[Bao-Jin],
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CISP09(1-5).
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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
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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).
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Wen, Y.W.[You-Wei], Ng, M.[Michael], Ching, W.K.[Wai-Ki],
CIDER: Corrected Inverse-Denoising Filter for Image Restoration,
EMMCVPR07(112-126).
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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
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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
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Sugiyama, M., Imaizumi, D., Ogawa, H.,
Subspace Information Criterion for Image Restoration: Mean Squared Error Estimatior for Linear Filters,
SCIA01(O-M5B). 0206
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Rodriguez-Florido, M., Ruiz-Alzola, J., Westin, C.F.,
Artifact Reduction in Sinc Interpolation Using Adaptive Filtering,
ICIP01(III: 884-887).
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Shcherbakov, M.[Michael],
Pareto optimal nonlinear filters for image enhancement,
ICIP96(I: 769-772).
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
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Kashyap, R.L.,
A robust variable length nonlinear filter for edge enhancement and noise smoothing,
ICPR94(C:143-145).
IEEE DOI 9410
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Moody, E.B.,
Discrete orthogonal polynomial restoration of images degraded by spatially varying point spread functions,
ICIP94(II: 680-684).
IEEE DOI 9411
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Selkainaho, K.,
A one-parametric reduced filter for image restoration,
ICPR94(C:68-71).
IEEE DOI 9410
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Suesse, H., Voss, K.,
Inversion of convolution by small kernels,
CAIP93(123-127).
Springer DOI 9309
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Lonnestad, T.,
Connected filters for noise removal,
ICPR88(II: 848-850).
IEEE DOI 8811
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Aliasing, Anti-Aliasing .