5.3.8.2 Noise Removal, Adaptive, Non-linear Techniques

Abramatic, J.F., and Silverman, L.M.,
Nonlinear Restoration of Noisy Images,
PAMI(4), No. 2, March 1982, pp. 141-149. BibRef 8203

Mastin, G.A.,
Adaptive Filters for Digital Image Noise Smoothing: An Evaluation,
CVGIP(31), No. 1, July 1985, pp. 103-121.
WWW Version. BibRef 8507

Kuan, D.T., Sawchuk, A.A., Strand, T.C., Chavel, P.,
Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise,
PAMI(7), No. 2, March 1985, pp. 165-177. BibRef 8503

Kasturi, R., Walkup, J.F., Krile, T.F.,
Image Restoration in Signal-Dependent Noise Using a Markovian Covariance Model,
CVGIP(28), No. 3, December 1984, pp. 363-376.
WWW Version. BibRef 8412
Earlier:
Image Restoration by Transformation of Signal-Dependent Noise to Signal-Independent Noise,
CVPR83(410-415). BibRef

Kasturi, R., Walkup, J.F., Krile, T.F.,
Adaptive Point Estimation in Signal-Dependent Noise,
SMC(15), 1985, pp. 352-359. BibRef 8500

Song, W.J.[Woo-Jin],
Method for enhancing image data by noise reduction or sharpening,
US_Patent4,783,840, Nov 8, 1988
WWW Version. BibRef 8811

Rank, K., Unbehauen, R.,
An Adaptive Recursive 2-D Filter for Removal of Gaussian Noise in Images,
IP(1), No. 3, July 1992, pp. 431-436.
IEEE DOI Link BibRef 9207

Rank, K., Lendl, M., Unbehauen, R.,
Estimation of image noise variance,
VISP(146), No. 2, April 1999, pp. 80. BibRef 9904

You, X.[Xu], Crebbin, G.,
Robust adaptive estimator for filtering noise in images,
IP(4), No. 5, May 1995, pp. 693-699.
IEEE DOI Link 0402
BibRef

Guan, L., Perry, S.W., Wong, E.P.K.,
Adaptive Scaled Mean-Square Error Filtering by Neural Networks,
JEI(5), No. 4, October 1996, pp. 460-465. 9709
BibRef

Kleihorst, R.P., Lagendijk, R.L., Biemond, J.,
An Adaptive Order Statistic Noise Filter for Gamma Corrected Image Sequences,
IP(6), No. 10, October 1997, pp. 1442-1446.
IEEE DOI Link 9710
BibRef
Earlier:
An efficient spatio-temporal OS-filter for gamma-corrected video signals,
ICIP94(I: 348-352).
IEEE DOI Link 9411
BibRef

Rangayyan, R.M., Das, A.,
Filtering Multiplicative Noise in Images Using Adaptive Region Based Statistics,
JEI(7), No. 1, January 1998, pp. 222-230. 9807
BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Borri, G.,
Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise,
CirSysSignal(45), No. 8, August 1998, pp. 1092-1097. 9809
BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano],
Multiresolution Local-Statistics Speckle Filtering Based on a Ratio Laplacian Pyramid,
GeoRS(36), No. 5, September 1998, pp. 1466.
IEEE Top Reference. BibRef 9809
Earlier:
Multiresolution Adaptive Filtering of Signal-Dependent Noise Based on a Generalized Laplacian Pyramid,
ICIP97(I: 381-384).
IEEE DOI Link BibRef

Jostschulte, K., Amer, A., Schu, M., Schroder, H.,
Perception Adaptive Temporal TV-Noise Reduction Using Contour Preserving Prefilter Techniques,
Consumer(44), No. 3, August 1998, pp. 1091-1096. 9810
BibRef

Boutalis, Y., Kollias, S., Carayannis, G.,
A fast adaptive approach to the restoration of images degraded by noise,
SP(19), No. 2, 1990, pp. 151-162. BibRef 9000

Chan, T.F., Osher, S.J., Shen, J.,
The digital TV filter and nonlinear denoising,
IP(10), No. 2, February 2001, pp. 231-241.
IEEE DOI Link 0104
BibRef

Lu, W.[Wenkai],
Localized 2-D filter-based linear coherent noise attenuation,
IP(10), No. 9, September 2001, pp. 1379-1383.
IEEE DOI Link 0108
BibRef

Hawwar, Y., Reza, A.,
Spatially adaptive multiplicative noise image denoising technique,
IP(11), No. 12, December 2002, pp. 1397-1404.
IEEE DOI Link 0301
BibRef

Lorenzo-Ginori, J.V., Plataniotis, K.N., Venetsanopoulos, A.N.,
Nonlinear filtering for phase image denoising,
VISP(149), No. 5, October 2002, pp. 290-296.
IEEE Top Reference. 0304
BibRef

Cruz-Enríquez, H.[Héctor], Lorenzo-Ginori, J.V.[Juan V.],
Combined Wavelet and Nonlinear Filtering for MRI Phase Images,
ICIAR09(83-92).
Springer DOI Link 0907
BibRef
Earlier:
Wavelet-Based Methods for Improving Signal-to-Noise Ratio in Phase Images,
ICIAR05(247-254).
Springer DOI Link 0509
BibRef

Zhang, L.[Lei], Bao, P.[Paul],
Denoising by spatial correlation thresholding,
CirSysVideo(13), No. 6, June 2003, pp. 535-538.
IEEE Abstract. IEEE Top Reference. 0307
BibRef

Ranta, R., Heinrich, C., Louis-Dorr, V., Wolf, D.,
Interpretation and improvement of an iterative wavelet-based denoising method,
SPLetters(10), No. 8, August 2003, pp. 239-241.
IEEE Abstract. IEEE Top Reference. 0308
BibRef

Hou, Z.[Zujun],
Adaptive singular value decomposition in wavelet domain for image denoising,
PR(36), No. 8, August 2003, pp. 1747-1763.
WWW Version. 0304
BibRef

Kaspar, R.[Roman], Zitová, B.[Barbara],
Weighted Thin-Plate Spline Image Denoising,
PR(36), No. 12, December 2003, pp. 3027-3030.
WWW Version. 0310
BibRef
Earlier: CAIP03(730-737).
WWW Version. 0311
BibRef

Sochen, N.A.[Nir A.],
Affine Invariant Flows in the Beltrami Framework,
JMIV(20), No. 1-2, January-March 2004, pp. 133-146.
WWW Version. 0403
BibRef
Earlier:
On affine Invariance in the Beltrami Framework for Vision,
LevelSet01(xx-yy). 0106
BibRef
And:
Stochastic Processes in Vision: From Langevin to Beltrami,
ICCV01(I: 288-293).
IEEE DOI Link 0106
Beltrami framework: Nonlinear diffusion technique. BibRef

Sochen, N.A., Deriche, R., Lopez Perez, L.,
The Beltrami flow over implicit manifolds,
ICCV03(832-839).
IEEE DOI Link 0311
BibRef
And:
Variational Beltrami flows over manifolds,
ICIP03(I: 861-864).
IEEE Abstract. IEEE Top Reference. 0312
Denoising medical images. BibRef

Dascal, L.[Lorina], Ditkowski, A.[Adi], Sochen, N.A.[Nir A.],
On the Discrete Maximum Principle for the Beltrami Color Flow,
JMIV(29), No. 1, Septmeber 2007, pp. 63-77.
Springer DOI Link 0709
BibRef
Earlier: A1, A3, Only:
The Maximum Principle for Beltrami Color Flow,
ScaleSpace03(196-208).
HTML Version. 0310
BibRef

Dascal, L.[Lorina], Rosman, G.[Guy], Tai, X.C.[Xue-Cheng], Kimmel, R.[Ron],
On Semi-implicit Splitting Schemes for the Beltrami Color Flow,
SSVM09(259-270).
Springer DOI Link 0906
BibRef

Rosman, G.[Guy], Dascal, L.[Lorina], Sidi, A.[Avram], Kimmel, R.[Ron],
Efficient Beltrami Image Filtering Via Vector Extrapolation Methods,
SIIMS(2), No. 3, 2009, pp. 858-878. diffusion; partial differential equation; Beltrami; extrapolation; filtering; denoising
WWW Version.
WWW Version. BibRef 0900
Earlier: A2, A1, A4, Only:
Efficient Beltrami Filtering of Color Images Via Vector Extrapolation,
SSVM07(92-103).
Springer DOI Link 0705
BibRef

Spira, A.[Alon], Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
A Short- Time Beltrami Kernel for Smoothing Images and Manifolds,
IP(16), No. 6, June 2007, pp. 1628-1636.
IEEE DOI Link 0706
BibRef
Earlier:
Efficient Beltrami Flow Using a Short Time Kernel,
ScaleSpace03(511-522).
HTML Version. 0310
BibRef

Spira, A.[Alon], Kimmel, R.[Ron],
Enhancing Images Painted on Manifolds,
ScaleSpace05(492-502).
WWW Version. 0505
BibRef

Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
Using Beltrami Framework for Orientation Diffusion in Image Processing,
VF01(346 ff.).
HTML Version. 0209
selective smoothing of orientation using the geometric Beltrami framework BibRef

Gilboa, G.[Guy], Sochen, N.A.[Nir A.], Zeevi, Y.Y.[Yehoshua Y.],
Variational Denoising of Partly Textured Images by Spatially Varying Constraints,
IP(15), No. 8, August 2006, pp. 2281-2289.
IEEE DOI Link 0606
See also Nonlinear Scale Space with Spatially Varying Stopping Time. BibRef

Gilboa, G.[Guy], Sochen, N.A.[Nir A.], Zeevi, Y.Y.[Yehoshua Y.],
Image Sharpening by Flows Based on Triple Well Potentials,
JMIV(20), No. 1-2, January-March 2004, pp. 121-131.
WWW Version. 0403
BibRef

Gilboa, G.[Guy], Sochen, N.A.[Nir A.], Zeevi, Y.Y.[Yehoshua Y.],
Estimation of Optimal PDE-Based Denoising in the SNR Sense,
IP(15), No. 8, August 2006, pp. 2269-2280.
IEEE DOI Link 0606
BibRef
Earlier:
Estimation of the Optimal Variational Parameter via SNR Analysis,
ScaleSpace05(230-241).
WWW Version. 0505
BibRef
Earlier: A1, A3, A2:
PDE-based denoising of complex scenes using a spatially-varying fidelity term,
ICIP03(I: 865-868).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Aujol, J.F.[Jean-Francois], Kang, S.H.[Sung Ha],
Color image decomposition and restoration,
JVCIR(17), No. 4, August 2006, pp. 916-928.
WWW Version. 0711
Total variation; Structure; Texture; Color; Image decomposition; Image restoration BibRef

Aujol, J.F.[Jean-François], Gilboa, G.[Guy],
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising,
JMIV(26), No. 1-2, November 2006, pp. 217-237.
Springer DOI Link 0701
BibRef

Aubert, G.[Gilles], Aujol, J.F.[Jean-François],
A Nonconvex Model to Remove Multiplicative Noise,
SSVM07(68-79).
Springer DOI Link 0705
BibRef

Aujol, J.F.[Jean-François],
Some First-Order Algorithms for Total Variation Based Image Restoration,
JMIV(34), No. 3, July 2009, pp. xx-yy.
Springer DOI Link 0906
BibRef

Ma, Z., Wu, H.R., Qiu, B.,
A Robust Structure-Adaptive Hybrid Vector Filter for Color Image Restoration,
IP(14), No. 12, December 2005, pp. 1990-2001.
IEEE DOI Link 0512
BibRef

Hore, E.S., Qiu, B.[Bin], Wu, H.R.[Hong Ren],
Adaptive noise detection for image restoration with a multiple window configuration,
ICIP02(I: 329-332).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Karkkainen, T., Majava, K.,
Semi-adaptive, convex optimisation methodology for image denoising,
VISP(152), No. 5, October 2005, pp. 553-560.
WWW Version. 0512
BibRef

Mahmoodi, S., Sharif, B.S.,
Noise reduction, smoothing and time interval segmentation of noisy signals using an energy optimisation method,
VISP(153), No. 2, April 2006, pp. 101-108.
WWW Version. 0604
BibRef

Mahmoodi, S., Sharif, B.S.,
Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties,
IVC(24), No. 2, 1 February 2006, pp. 202-209.
WWW Version. 0604
Optimisation; Edge detection; Partial differential equations; Differential geometry BibRef

Mahmoodi, S., Sharif, B.S., and Chester, E.,
Contour Detection Using Multi-Scale Active Shape Models,
ICIP97(II: 708-711).
IEEE DOI Link BibRef 9700

Mahmoodi, S., Sharif, B.S.,
Geometrical-based algorithm for variational segmentation and smoothing of vector-valued images,
IET-IPR(1), No. 2, June 2007, pp. 112-122.
WWW Version. 0905
BibRef

Mahmoodi, S.,
Contour evolution scheme for variational image segmentation and smoothing,
IET-IPR(1), No. 3, September 2007, pp. 287-294.
WWW Version. 0905
BibRef

Hmidat, A.M., Sharif, B.S., Woo, W.L.,
Robust multiple signal classification algorithm based on the myriad covariation matrix,
VISP(153), No. 5, October 2006, pp. 569-573.
WWW Version. 0702
BibRef

Liu, J.G., Morgan, G.L.K.,
FFT Selective and Adaptive Filtering for Removal of Systematic Noise in ETM+ Imageodesy Images,
GeoRS(44), No. 12, December 2006, pp. 3716-3724.
IEEE DOI Link 0701
BibRef

Li, F.[Fang], Shen, C.M.[Chao-Min], Pi, L.[Ling],
A New Diffusion-Based Variational Model for Image Denoising and Segmentation,
JMIV(26), No. 1-2, November 2006, pp. 115-125.
Springer DOI Link 0701
BibRef

Bai, J., Feng, X.C.,
Fractional-Order Anisotropic Diffusion for Image Denoising,
IP(16), No. 10, October 2007, pp. 2492-2502.
IEEE DOI Link 0711
BibRef

Bey, N.Y.[Nourédine Yahya],
Recovering of autoregressive spectral estimates of signals buried in noise,
SIViP(1), No. 4, October 2007, pp. 321-331.
Springer DOI Link 0711
BibRef

Letexier, D.[Damien], Bourennane, S.[Salah],
Adaptive Flattening for Multidimensional Image Restoration,
SPLetters(15), No. 1, 2008, pp. 229-232.
IEEE DOI Link 0802
BibRef

Letexier, D.[Damien], Bourennane, S.[Salah], Blanc-Talon, J.[Jacques],
Main flattening directions and Quadtree decomposition for multi-way Wiener filtering,
SIViP(1), No. 3, August 2007, pp. 253-265.
Springer DOI Link 0803
BibRef
Earlier:
Multidimensional Noise Removal Method Based on Best Flattening Directions,
ACIVS07(233-241).
Springer DOI Link 0708
BibRef

Letexier, D.[Damien], Bourennane, S.[Salah], Blanc-Talon, J.[Jacques],
Multidimensional Noise Removal Based on Fourth Order Cumulants,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Joyeux, F.[Florian], Letexier, D.[Damien], Bourennane, S.[Salah], Blanc-Talon, J.[Jacques],
Multidimensional Noise Removal Method Based on PARAFAC Decomposition,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Letexier, D.[Damien], Bourennane, S.[Salah],
Noise Removal From Hyperspectral Images by Multidimensional Filtering,
GeoRS(46), No. 7, July 2008, pp. 2061-2069.
IEEE DOI Link 0806
BibRef

Channappayya, S.S., Bovik, A.C., Caramanis, C., Heath, R.W.,
Design of Linear Equalizers Optimized for the Structural Similarity Index,
IP(17), No. 6, June 2008, pp. 857-872.
IEEE DOI Link 0711
BibRef
Earlier: A1, A2, A4, Only:
A Linear Estimator Optimized for the Structural Similarity Index and its Application to Image Denoising,
ICIP06(2637-2640). 0610

IEEE DOI Link BibRef

Channappayya, S.S., Bovik, A.C., Heath, Jr., R.W.,
Rate Bounds on SSIM Index of Quantized Images,
IP(17), No. 9, September 2008, pp. 1624-1639.
IEEE DOI Link 0810
BibRef

Raphan, M.[Martin], Simoncelli, E.P.[Eero P.],
Optimal Denoising in Redundant Representations,
IP(17), No. 8, August 2008, pp. 1342-1352.
IEEE DOI Link 0808
BibRef
Earlier:
Optimal Denoising in Redundant Bases,
ICIP07(III: 113-116).
IEEE DOI Link 0709
BibRef

Lyu, S.W.[Si-Wei], Simoncelli, E.P.[Eero P.],
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures,
PAMI(31), No. 4, April 2009, pp. 693-706.
IEEE DOI Link 0903
For noise removal. BibRef

Lyu, S.W.[Si-Wei],
An implicit Markov random field model for the multi-scale oriented representations of natural images,
CVPR09(1919-1925).
IEEE DOI Link 0906
BibRef

Sanches, J.M.[João M.], Nascimento, J.C., Marques, J.S.[Jorge S.],
Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation,
IP(17), No. 9, September 2008, pp. 1522-1539.
IEEE DOI Link 0810
BibRef
Earlier: A1, A3, Only:
Image Denoising Using the Lyapunov Equation from Non-uniform Samples,
ICIAR06(I: 351-358).
Springer DOI Link 0610
BibRef
Earlier: A1, A3
MAP Signal Reconstruction with Non Regular Grids,
ICIAR04(I: 204-211).
WWW Version. 0409
BibRef

Rodrigues, I.[Isabel], Sanches, J.M.[Joao M.], Bioucas-Dias, J.[Jose],
Denoising of medical images corrupted by Poisson noise,
ICIP08(1756-1759).
IEEE DOI Link 0810
BibRef

Ramani, S., Blu, T., Unser, M.,
Monte-Carlo Sure: A Black-Box Optimization of Regularization Parameters for General Denoising Algorithms,
IP(17), No. 9, September 2008, pp. 1540-1554.
IEEE DOI Link 0810
BibRef

Li, D.L.[Da-Long],
Support vector regression based image denoising,
IVC(27), No. 6, 4 May 2009, pp. 623-627.
Elsevier DOI Link
WWW Version. 0904
BibRef

Li, D.L.[Da-Long], Simske, S.[Steven], Mersereau, R.M.[Russell M.],
Image Denoising Through Support Vector Regression,
ICIP07(IV: 425-428).
IEEE DOI Link 0709
BibRef

Chatterjee, P., Milanfar, P.,
Clustering-Based Denoising With Locally Learned Dictionaries,
IP(18), No. 7, July 2009, pp. 1438-1451.
IEEE DOI Link 0906
BibRef

Barone, P.[Piero], Carfora, M.F.[Maria Francesca], March, R.[Riccardo],
Segmentation, Classification and Denoising of a Time Series Field by a Variational Method,
JMIV(34), No. 2, June 2009, pp. xx-yy.
Springer DOI Link 0906
BibRef

Brunet, D.[Dominique], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
The Use of Residuals in Image Denoising,
ICIAR09(1-12).
Springer DOI Link 0907
BibRef

Li, W.N.[Wen-Na], Wang, P.F.[Pei-Feng], Li, Y.[Yang],
A method of adaptive colored noise cancellation based on ANFIS,
IASP09(386-388).
IEEE DOI Link 0904
BibRef

Kisilev, P.[Pavel], Shaked, D.[Doron], Lim, S.H.[Suk Hwan],
Noise and Signal Activity Maps for Better Imaging Algorithms,
ICIP07(II: 117-120).
IEEE DOI Link 0709
Noise based on local and global analysis. BibRef

Raj, A.[Ashish], Young, K.[Karl], Thakur, K.[Kailash],
Deducing Local Influence Neighbourhoods with Application to Edge-Preserving Image Denoising,
GbRPR07(180-190).
Springer DOI Link 0706
BibRef

Hammond, D.K.[David K.], Simoncelli, E.P.[Eero P.],
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods,
ICIP07(VI: 29-32).
IEEE DOI Link 0709
BibRef

Zhou, D.W.[Deng-Wen],
An Image Denoising Algorithm with an Adaptive Window,
ICIP07(I: 333-336).
IEEE DOI Link 0709
BibRef

Azzabou, N.[Noura], Paragios, N.[Nikos], Guichard, F.[Frederic],
Image Denoising Based on Adapted Dictionary Computation,
ICIP07(III: 109-112).
IEEE DOI Link 0709
BibRef

Kivinen, J.J.[Jyri J.], Sudderth, E.B.[Erik B.], Jordan, M.I.[Michael I.],
Image Denoising with Nonparametric Hidden Markov Trees,
ICIP07(III: 121-124).
IEEE DOI Link 0709
BibRef

Goossens, B.[Bart], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
EM-based estimation of spatially variant correlated image noise,
ICIP08(1744-1747).
IEEE DOI Link 0810
BibRef
And:
Noise Removal from Images by Projecting onto Bases of Principal Components,
ACIVS07(190-199).
Springer DOI Link 0708
BibRef

Elo, C.A.[Christoffer A.], Malyshev, A.[Alexander], Rahman, T.[Talal],
A Dual Formulation of the TV-Stokes Algorithm for Image Denoising,
SSVM09(307-318).
Springer DOI Link 0906
BibRef

Tai, X.C.[Xue-Cheng], Wu, C.L.[Chun-Lin],
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model,
SSVM09(502-513).
Springer DOI Link 0906
BibRef

Tai, X.C.[Xue-Cheng], Borok, S.[Sofia], Hahn, J.Y.[Joo-Young],
Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization,
SSVM09(490-501).
Springer DOI Link 0906
BibRef

Rahman, T.[Talal], Tai, X.C.[Xue-Cheng], Osher, S.J.[Stanley J.],
A TV-Stokes Denoising Algorithm,
SSVM07(473-483).
Springer DOI Link 0705
BibRef

Morigi, S.[Serena], Sgallari, F.[Fiorella],
An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions,
SSVM07(43-54).
Springer DOI Link 0705
BibRef

Wang, J.[Jin], Guo, Y.W.[Yan-Wen], Ying, Y.T.[Yi-Ting], Liu, Y.L.[Yan-Li], Peng, Q.S.[Qun-Sheng],
Fast Non-Local Algorithm for Image Denoising,
ICIP06(1429-1432). 0610

IEEE DOI Link BibRef

Figueiredo, M.A.T., Dias, J.B., Oliveira, J.P., Nowak, R.D.[Robert D.],
On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparison with Wavalet Denoising,
ICIP06(2633-2636). 0610

IEEE DOI Link BibRef

Ponomarenko, N.N.[Nikolay N.], Lukin, V.V.[Vladimir V.], Egiazarian, K.O.[Karen O.], Astola, J.T.[Jaakko T.], Vozel, B.[Benoit], Chehdi, K.[Kacem],
Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise,
ACIVS06(46-54).
Springer DOI Link 0609
BibRef

Ferraz, C.T.[Carolina Toledo], Nonato, L.G.[Luis Gustavo], Cuminato, J.A.[José Alberto],
An Edge-Preserving Multigrid-Like Technique for Image Denoising,
ICIAR06(I: 126-137).
Springer DOI Link 0610
BibRef

van Ginneken, B.[Bram], Mendrik, A.[Adrienne],
Image Denoising with k-nearest Neighbor and Support Vector Regression,
ICPR06(III: 603-606).
WWW Version. 0609
BibRef

Ghouti, L., Bouridane, A.,
Two-Step Variance-Adaptive Image Denoising,
ICIP05(III: 349-352).
IEEE DOI Link 0512
BibRef

Florencio, D.A.,
Image De-Noising by Selective Filtering Based on Double-Shot Pictures,
ICIP05(III: 353-356).
IEEE DOI Link 0512
BibRef

Cheong, H.Y.[Hye-Yeon], Tourapis, A.M., Llach, J., Boyce, J.,
Adaptive spatio-temporal filtering for video de-noising,
ICIP04(II: 965-968).
IEEE DOI Link 0505
BibRef

Feigin, M.[Micha], Sochen, N.A.[Nir A.],
Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise,
SSVM09(319-330).
Springer DOI Link 0906
BibRef

Feigin, M., Sochen, N.A.,
Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-Like Functional,
ICPR04(II: 98-101).
IEEE DOI Link 0409
BibRef

Zhan, C.Q., Karam, L.J.,
Wavelet-based adaptive image denoising with edge preservation,
ICIP03(I: 97-100).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Lundmark, A.[Astrid], Haglund, L.[Leif],
Adaptive Spatial and Temporal Prefiltering for Video Compression,
SCIA03(953-960).
WWW Version. 0310
BibRef

Legrand, P., Vehel, J.L.,
Local regularity-based image denoising,
ICIP03(III: 377-380).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Sallee, P., Olshausen, B.A.,
Image denoising using learned overcomplete representations,
ICIP03(III: 381-384).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Katkovnik, V.,
A multiresolution nonparametric regression and image de-noising,
ICIP03(III: 385-388).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Malladi, R., Ravve, I.,
Fast Difference Schemes for Edge Enhancing Beltrami Flow,
ECCV02(I: 343 ff.).
HTML Version. 0205
BibRef

Gezici, S., Yilmaz, I., Gerek, O.N., Cetin, A.E.,
Image Denoising Using Adaptive Subband Decomposition,
ICIP01(I: 261-264).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Liang, Q.[Quan], Gustavsson, T.,
Isointensity directional smoothing for edge-preserving noise reduction,
ICIP98(II: 867-871).
IEEE DOI Link 9810
BibRef

Martens, J.,
Noise reduction and enhancement by means of adaptive residue-image processing,
ICIP94(II: 467-471).
IEEE DOI Link 9411
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Quality Evaluation, Quality Assessment, and Imaging Models .