5.3.9.4 Noise Removal, Adaptive, Non-linear Techniques

Chapter Contents (Back)
Noise Removal. Denoising. Adaptive.

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 Link. 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 Link. 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 Link. 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 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 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 9710
BibRef
Earlier:
An efficient spatio-temporal OS-filter for gamma-corrected video signals,
ICIP94(I: 348-352).
IEEE DOI 9411
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 0104
BibRef

Lu, W.K.[Wen-Kai],
Localized 2-D filter-based linear coherent noise attenuation,
IP(10), No. 9, September 2001, pp. 1379-1383.
IEEE DOI 0108
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 0907
BibRef
Earlier:
Wavelet-Based Methods for Improving Signal-to-Noise Ratio in Phase Images,
ICIAR05(247-254).
Springer DOI 0509
BibRef

Zhang, L.[Lei], Bao, P.[Paul],
Denoising by spatial correlation thresholding,
CirSysVideo(13), No. 6, June 2003, pp. 535-538.
IEEE Abstract. 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. 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 Link. 0304
BibRef

Kaspar, R.[Roman], Zitová, B.[Barbara],
Weighted Thin-Plate Spline Image Denoising,
PR(36), No. 12, December 2003, pp. 3027-3030.
WWW Link. 0310
BibRef
Earlier: CAIP03(730-737).
Springer DOI 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.
DOI Link 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 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 0311
BibRef
And:
Variational Beltrami flows over manifolds,
ICIP03(I: 861-864).
IEEE DOI 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 0709
BibRef
Earlier: A1, A3, Only:
The Maximum Principle for Beltrami Color Flow,
ScaleSpace03(196-208).
Springer DOI 0310
BibRef

Rosman, G.[Guy], Dascal, L.[Lorina], Tai, X.C.[Xue-Cheng], Kimmel, R.[Ron],
On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering,
JMIV(40), No. 2, June 2011, pp. 199-213.
WWW Link. 1103
BibRef
Earlier: A2, A1, A3, A4:
On Semi-implicit Splitting Schemes for the Beltrami Color Flow,
SSVM09(259-270).
Springer DOI 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
DOI Link BibRef 0900
Earlier: A2, A1, A4, Only:
Efficient Beltrami Filtering of Color Images Via Vector Extrapolation,
SSVM07(92-103).
Springer DOI 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 0706
BibRef
Earlier:
Efficient Beltrami Flow Using a Short Time Kernel,
ScaleSpace03(511-522).
Springer DOI 0310
BibRef

Wetzler, A.[Aaron], Kimmel, R.[Ron],
Efficient Beltrami Flow in Patch-Space,
SSVM11(134-143).
Springer DOI 1201
BibRef

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

Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
Using Beltrami Framework for Orientation Diffusion in Image Processing,
VF01(346 ff.).
Springer DOI 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 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.
DOI Link 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 0606
BibRef
Earlier:
Estimation of the Optimal Variational Parameter via SNR Analysis,
ScaleSpace05(230-241).
Springer DOI 0505
BibRef
Earlier: A1, A3, A2:
PDE-based denoising of complex scenes using a spatially-varying fidelity term,
ICIP03(I: 865-868).
IEEE DOI 0312
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 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 DOI 0210
BibRef

Karkkainen, T., Majava, K.,
Semi-adaptive, convex optimisation methodology for image denoising,
VISP(152), No. 5, October 2005, pp. 553-560.
DOI Link 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.
DOI Link 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 Link. 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 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.
DOI Link 0905
BibRef

Mahmoodi, S.,
Contour evolution scheme for variational image segmentation and smoothing,
IET-IPR(1), No. 3, September 2007, pp. 287-294.
DOI Link 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.
DOI Link 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 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 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 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 0711
BibRef

Bey, N.Y.[Nouredine Yahya],
Multi-resolution fourier analysis: extraction and missing signal recovery of short buried signals in noise,
SIViP(8), No. 8, November 2014, pp. 1483-1495.
WWW Link. 1411
BibRef

Letexier, D.[Damien], Bourennane, S.[Salah],
Adaptive Flattening for Multidimensional Image Restoration,
SPLetters(15), No. 1, 2008, pp. 229-232.
IEEE DOI 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 0803
BibRef
Earlier:
Multidimensional Noise Removal Method Based on Best Flattening Directions,
ACIVS07(233-241).
Springer DOI 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 0810
BibRef

Liu, X.F.[Xue-Feng], Bourennane, S.[Salah], Fossati, C.[Caroline],
Classification improvement based on non-white noise reduction using parafac decompositon for hyperspectral images,
ICIP12(2129-2132).
IEEE DOI 1302
PARAFAC 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 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 0806
BibRef

Marot, J.[Julien], Fossati, C.[Caroline], Bourennane, S.[Salah],
Fast subspace-based tensor data filtering,
ICIP09(3869-3872).
IEEE DOI 0911
BibRef

Liu, X.F.[Xue-Feng], Bourennane, S.[Salah], Fossati, C.[Caroline],
Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis,
GeoRS(50), No. 10, October 2012, pp. 3717-3724.
IEEE DOI 1210
BibRef

Liu, X.F.[Xue-Feng], Bourennane, S.[Salah], Fossati, C.[Caroline],
Reduction of Signal-Dependent Noise From Hyperspectral Images for Target Detection,
GeoRS(52), No. 9, Sept 2014, pp. 5396-5411.
IEEE DOI 1407
Wiener filters 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 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).
IEEE DOI 0610
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 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 0808
BibRef
Earlier:
Optimal Denoising in Redundant Bases,
ICIP07(III: 113-116).
IEEE DOI 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 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 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 0810
BibRef
Earlier: A1, A3, Only:
Image Denoising Using the Lyapunov Equation from Non-uniform Samples,
ICIAR06(I: 351-358).
Springer DOI 0610
BibRef
Earlier: A1, A3
MAP Signal Reconstruction with Non Regular Grids,
ICIAR04(I: 204-211).
Springer DOI 0409
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 0810
BibRef

Ramani, S., Thevenaz, P., Unser, M.,
Regularized Interpolation for Noisy Images,
MedImg(29), No. 2, February 2010, pp. 543-558.
IEEE DOI 1002
BibRef

Li, D.L.[Da-Long],
Support vector regression based image denoising,
IVC(27), No. 6, 4 May 2009, pp. 623-627.
Elsevier DOI 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 0709
BibRef

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

Chatterjee, P.[Priyam], Milanfar, P.[Peyman],
Patch-Based Near-Optimal Image Denoising,
IP(21), No. 4, April 2012, pp. 1635-1649.
IEEE DOI 1204
BibRef
Earlier:
Patch-based locally optimal denoising,
ICIP11(2553-2556).
IEEE DOI 1201
BibRef
Earlier:
Learning denoising bounds for noisy images,
ICIP10(1157-1160).
IEEE DOI 1009
See also Practical Bounds on Image Denoising: From Estimation to Information. BibRef

Zhu, X., Milanfar, P.,
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content,
IP(19), No. 12, December 2010, pp. 3116-3132.
IEEE DOI 1011
BibRef

Zhu, X.[Xiang], Milanfar, P.[Peyman],
Restoration for weakly blurred and strongly noisy images,
WACV11(103-109).
IEEE DOI 1101
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 0906
BibRef

Wang, X.[Xuwei], Ma, K.K.[Kai-Kuang],
Noise adaptive rational filter,
SIViP(4), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Brito-Loeza, C.[Carlos], Chen, K.[Ke],
On High-Order Denoising Models and Fast Algorithms for Vector-Valued Images,
IP(19), No. 6, June 2010, pp. 1518-1527.
IEEE DOI 1006
BibRef

Brito-Loeza, C.[Carlos], Chen, K.[Ke],
Multigrid Algorithm For High Order Denoising,
SIIMS(3), No. 3, 2010, pp. 363-389.
DOI Link denoising; variational models; regularization; fourth order partial differential equations; multilevel methods BibRef 1000

Lin, C.H., Tsai, J.S., Chiu, C.T.,
Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal,
IP(19), No. 9, September 2010, pp. 2307-2320.
IEEE DOI 1008
BibRef

Chen, X.J.[Xiao-Jun], Zhou, W.J.[Wei-Jun],
Smoothing Nonlinear Conjugate Gradient Method For Image Restoration Using Nonsmooth Nonconvex Minimization,
SIIMS(3), No. 4, 2010, pp. 765-790.
DOI Link 1011
image restoration; regularization; nonsmooth and nonconvex optimization; nonlinear conjugate gradient method; smooth approximation; potential function BibRef

He, Y., Gan, T., Chen, W., Wang, H.,
Adaptive Denoising by Singular Value Decomposition,
SPLetters(18), No. 4, April 2011, pp. 215-218.
IEEE DOI 1103
BibRef

Dash, P.P.[Prajna Parimita], Patra, D.[Dipti],
Evolutionary neural network for noise cancellation in image data,
IJCVR(2), No. 3, 2011, pp. 206-217.
DOI Link 1110
BibRef

Pardo, Á.[Álvaro],
Analysis of Non-Local Image Denoising Methods,
PRL(32), No. 16, 1 December 2011, pp. 2145-2149.
Elsevier DOI 1112
BibRef
Earlier: CIARP09(103-110).
Springer DOI 0911
BibRef
And:
Non Local Image Denoising Using Image Adapted Neighborhoods,
CIARP10(277-284).
Springer DOI 1011
Non-local image denoising; Spectral clustering; Non-local image denoising parameter estimation See also Blotch Detection for Film Restoration. BibRef

Pardo, A.[Alvaro],
Comments on Randomly Sampled Non Local Means Image Filter,
CIARP14(498-505).
Springer DOI 1411
BibRef

Márques, A.[Adrián], Pardo, A.[Alvaro],
Implementation of Non Local Means Filter in GPUs,
CIARP13(I:407-414).
Springer DOI 1311
BibRef

Zhong, H.[Hua], Yang, C.[Chen], Zhang, X.H.[Xiao-Hua],
A New Weight for Nonlocal Means Denoising Using Method Noise,
SPLetters(19), No. 8, August 2012, pp. 535-538.
IEEE DOI 1208
BibRef

Yu, N.[Nannan], Qiu, T.S.[Tian-Shuang], Ren, F.[Fuquan],
Denoising for Multiple Image Copies through Joint Sparse Representation,
JMIV(45), No. 1, January 2013, pp. 46-54.
WWW Link. 1301
BibRef

Bertalmío, M.[Marcelo], Levine, S.[Stacey],
Denoising an Image by Denoising Its Curvature Image,
SIIMS(7), No. 1, 2014, pp. 187-211.
DOI Link 1404
BibRef

Ghimpeteanu, G., Batard, T.[Thomas], Bertalmío, M.[Marcelo], Levine, S.[Stacey],
A Decomposition Framework for Image Denoising Algorithms,
IP(25), No. 1, January 2016, pp. 388-399.
IEEE DOI 1601
Color BibRef

Ghimpe, G.[Gabriela], Batard, T.[Thomas], Bertalmío, M.[Marcelo], Levine, S.[Stacey],
Denoising an Image by Denoising Its Components in a Moving Frame,
ICISP14(375-383).
Springer DOI 1406
BibRef

Batard, T.[Thomas], Bertalmío, M.[Marcelo],
Generalized Gradient on Vector Bundle: Application to Image Denoising,
SSVM13(12-23).
Springer DOI 1305
BibRef

Batard, T.[Thomas], Berthier, M.[Michel],
The Clifford-Hodge Flow: An Extension of the Beltrami Flow,
CAIP09(394-401).
Springer DOI 0909
BibRef

Zhang, J.[Jian], Zhao, D.B.[De-Bin], Xiong, R.Q.[Rui-Qin], Ma, S., Gao, W.[Wen],
Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain,
CirSysVideo(24), No. 6, June 2014, pp. 915-928.
IEEE DOI 1407
Image edge detection BibRef

Zhang, J.[Jian], Zhao, D.B.[De-Bin], Gao, W.[Wen],
Group-Based Sparse Representation for Image Restoration,
IP(23), No. 8, August 2014, pp. 3336-3351.
IEEE DOI 1408
compressed sensing BibRef

Guo, H.W.[Hong-Wei], Jiang, F.[Feng], Liu, S.H.[Shao-Hui], Zhao, D.B.[De-Bin],
Natural images scale invariance and high-fidelity image restoration,
VCIP13(1-6)
IEEE DOI 1402
Gaussian processes BibRef

Zhang, G.C.[Guo-Chao], Liu, S.H.[Shao-Hui], Jiang, F.[Feng], Zhao, D.B.[De-Bin], Gao, W.[Wen],
An improved image compression scheme with an adaptive parameters set in encrypted domain,
VCIP13(1-6)
IEEE DOI 1402
adaptive systems BibRef

Zhang, J.[Jian], Xiong, R.Q.[Rui-Qin], Ma, S.W.[Si-Wei], Zhao, D.B.[De-Bin],
High-quality image restoration from partial random samples in spatial domain,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Chen, C.[Chuan], Ng, M.K., Zhao, X.L.[Xi-Le],
Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems,
IP(24), No. 1, January 2015, pp. 33-43.
IEEE DOI 1502
convergence of numerical methods BibRef

Sethunadh, R., Thomas, T.,
Spatially adaptive image denoising using inter-scale dependence in directionlet domain,
IET-IPR(9), No. 2, 2015, pp. 142-152.
DOI Link 1503
Gaussian noise BibRef

Sethunadh, R., Thomas, T.[Tessamma],
Image denoising based on adaptive spatial segmentation and multi-scale correlation in directionlet domain,
IJCVR(6), No. 1-2, 2016, pp. 146-167.
DOI Link 1601
BibRef

Mure, S.[Simon], Grenier, T.[Thomas], Meier, D.S.[Dominik S.], Guttmann, C.R.G.[Charles R.G.], Benoit-Cattin, H.[Hugues],
Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification,
PRL(68, Part 1), No. 1, 2015, pp. 48-55.
Elsevier DOI 1512
Unsupervised spatio-temporal filtering BibRef

Abdou, A.[Ahmed], Turcu, F.[Flavius], Grivel, E.[Eric], Diversi, R.[Roberto], Ferré, G.[Guillaume],
Identifying an autoregressive process disturbed by a moving-average noise using inner-outer factorization,
SIViP(9), No. 1 Supp, December 2015, pp. 235-244.
Springer DOI 1601
BibRef

Lellmann, J.[Jan], Papafitsoros, K.[Konstantinos], Schönlieb, C.[Carola], Spector, D.[Daniel],
Analysis and Application of a Nonlocal Hessian,
SIIMS(8), No. 4, 2015, pp. 2161-2202.
DOI Link 1601
higher-order and nonlocal regularization for image restoration, BibRef

Zhang, X., Lin, W., Xiong, R., Liu, X., Ma, S., Gao, W.,
Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation,
IP(25), No. 9, September 2016, pp. 4158-4171.
IEEE DOI 1609
computer vision BibRef

Xiong, R., Liu, H., Zhang, X., Zhang, J., Ma, S., Wu, F., Gao, W.,
Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity,
IP(25), No. 12, December 2016, pp. 5793-5805.
IEEE DOI 1612
approximation theory BibRef

Liu, H., Xiong, R., Zhang, X., Zhang, Y., Ma, S., Gao, W.,
Nonlocal Gradient Sparsity Regularization for Image Restoration,
CirSysVideo(27), No. 9, September 2017, pp. 1909-1921.
IEEE DOI 1709
Adaptation models, Estimation, Image edge detection, Image restoration, Predictive models, TV, Transforms, Content-adaptive modeling, gradient sparsity, image restoration, nonlocal (NL) similarity, total, variation, (TV), regularization BibRef

Liu, H., Zhang, X., Xiong, R.,
Content-adaptive low rank regularization for image denoising,
ICIP16(3091-3095)
IEEE DOI 1610
Bayes methods BibRef

Zhou, Y.Y.[Ying-Yue], Lin, M.S.[Mao-Song], Xu, S.[Su], Zang, H.B.[Hong-Bin], He, H.S.[Hong-Sen], Li, Q.A.[Qi-Ang], Guo, J.[Jin],
An image denoising algorithm for mixed noise combining nonlocal means filter and sparse representation technique,
JVCIR(41), No. 1, 2016, pp. 74-86.
Elsevier DOI 1612
Image denoising BibRef

Tiirola, J.[Juha],
Image Denoising Using Directional Adaptive Variable Exponents Model,
JMIV(57), No. 1, January 2017, pp. 56-74.
Springer DOI 1701
BibRef


Jia, X., Feng, X., Wang, W.,
Adaptive regularizer learning for low rank approximation with application to image denoising,
ICIP16(3096-3100)
IEEE DOI 1610
Approximation methods BibRef

Hanif, M., Seghouane, A.K.,
Non-Local Noise Estimation for Adaptive Image Denoising,
DICTA15(1-5)
IEEE DOI 1603
estimation theory BibRef

Duan, J.M.[Jin-Ming], Ding, Y.C.[Yu-Chun], Pan, Z.K.[Zhen-Kuan], Yang, J.[Jie], Bai, L.[Li],
Second order Mumford-Shah model for image denoising,
ICIP15(547-551)
IEEE DOI 1512
Image denoising BibRef

Chaudhury, K.N.[Kunal N.], Rithwik, K.[Kollipara],
Image denoising using optimally weighted bilateral filters: A sure and fast approach,
ICIP15(108-112)
IEEE DOI 1512
Image denoising BibRef

Bouteldja, M.A., Batouche, M.,
A study on differential evolution and cellular differential evolution for multilevel color image segmentation,
ISCV17(1-8)
IEEE DOI 1710
Color, Evolutionary computation, Histograms, Image segmentation, Sociology, cellular differential evolution, color image segmentation, multilevel thresholding, standard, differential, evolution BibRef

Bouteldja, M.A., Baadeche, M., Batouche, M.,
A novel approach for image denoising based on evolutionary game theory,
IPTA14(1-6)
IEEE DOI 1503
evolutionary computation BibRef

Liu, H.Y.[Hong-Yi], Wei, Z.H.[Zhi-Hui],
Structure-preserved NLTV regularization for image denoising,
IASP11(219-222).
IEEE DOI 1112
BibRef

Cohen, S.[Shimon], Ben-Ari, R.[Rami],
Image De-noising by Bayesian Regression,
CIAP11(I: 19-28).
Springer DOI 1109
BibRef

Chan, S.H.[Stanley H.],
Constructing a sparse convolution matrix for shift varying image restoration problems,
ICIP10(3601-3604).
IEEE DOI 1009
BibRef

Kitchener, M.A., Bouzerdoum, A., Phung, S.L.,
A Compressive Sensing Approach to Image Restoration,
DICTA10(111-115).
IEEE DOI 1012
BibRef
And:
Adaptive regularization for image restoration using a variational inequality approach,
ICIP10(2513-2516).
IEEE DOI 1009
BibRef

Li, S.T.[Shu-Tao], Fang, L.Y.[Le-Yuan],
An efficient learned dictionary and its application to non-local denoising,
ICIP10(1945-1948).
IEEE DOI 1009
BibRef

Zhu, X.[Xiang], Milanfar, P.[Peyman],
A no-reference image content metric and its application to denoising,
ICIP10(1145-1148).
IEEE DOI 1009
BibRef

Karnati, V.[Venkateswarlu], Uliyar, M.[Mithun], Dey, S.[Sumit],
Fast Non-Local algorithm for image denoising,
ICIP09(3873-3876).
IEEE DOI 0911
BibRef

Wang, Y.Q.[Yuan-Quan], Zhang, Y.T.[Yun-Ting], Yu, T.L.[Tie-Lian],
Noise Removal Using Edge-Preserving Fourth-Order Partial Differential Equations,
CISP09(1-5).
IEEE DOI 0910
BibRef

Liang, L.F.[Ling-Fei], Ping, Z.L.[Zi-Liang],
Image Denoise Using Auto-Adapted Empirical Mode Decomposition Algorithm,
CISP09(1-4).
IEEE DOI 0910
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 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 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 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 0709
BibRef

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

Azzabou, N.[Noura], Paragios, N.[Nikos], Guichard, F.[Frederic],
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing,
IP(19), No. 5, May 2010, pp. 1181-1190.
IEEE DOI 1004
BibRef
Earlier:
Image Denoising Based on Adapted Dictionary Computation,
ICIP07(III: 109-112).
IEEE DOI 0709
See also Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement. See also Variable Bandwidth Image Denoising Using Image-based Noise Models. 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 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 0810
BibRef
And:
Noise Removal from Images by Projecting onto Bases of Principal Components,
ACIVS07(190-199).
Springer DOI 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 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 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).
IEEE DOI 0610
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 0610
BibRef

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

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

Florencio, D.A.F.,
Image De-Noising by Selective Filtering Based on Double-Shot Pictures,
ICIP05(III: 353-356).
IEEE DOI 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 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 0906
See also Anisotropic alpha-Kernels and Associated Flows. BibRef

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

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

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

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

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

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

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

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

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

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

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Multiplicative Noise Removal .


Last update:Dec 15, 2017 at 20:32:53