5.3.9.5 Multiplicative Noise Removal

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

Javidi, B., Wang, J.,
Optimum Filter for Detecting a Target in Multiplicative Noise and Additive Noise,
JOSA-A(14), No. 4, April 1997, pp. 836-844. 9704
BibRef

Farbiz, F.[Farzam], Menhaj, M.B.[Mohammad Bagher], Motamedi, S.A.[Seyed Ahmad], Hagan, M.T.,
A New Fuzzy Logic Filter for Image Enhancement,
SMC-B(30), No. 1, February 2000, pp. 110-120.
IEEE Top Reference. 0004
BibRef

Farbiz, F.[Farzam], Menhaj, M.B.[Mohammad Bagher], Motamedi, S.A.[Seyed Ahmad],
A Modified Iterative Fuzzy Control Based Filter for Image Enhancement with Multiplicative Noise Removal Property,
ICIP99(I:539-544).
IEEE DOI BibRef 9900
Earlier:
Fixed point filter design for image enhancement using fuzzy logic,
ICIP98(II: 838-842).
IEEE DOI 9810
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 BibRef

Alparone, L.[Luciano], Baronti, S.[Stefano], Aiazzi, B.[Bruno], Garzelli, A.,
Spatial Methods for Multispectral Pansharpening: Multiresolution Analysis Demystified,
GeoRS(54), No. 5, May 2016, pp. 2563-2576.
IEEE DOI 1604
Laplace equations BibRef

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

Huang, L.L.[Li-Li], Xiao, L.[Liang], Wei, Z.H.[Zhi-Hui],
Multiplicative Noise Removal via a Novel Variational Model,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
BibRef

Zhang, J.[Jun], Wei, Z.H.[Zhi-Hui], Xiao, L.[Liang],
Adaptive Fractional-order Multi-scale Method for Image Denoising,
JMIV(43), No. 1, May 2012, pp. 39-49.
WWW Link. 1204
BibRef

Aja-Fernandez, S.[Santiago], Vegas-Sanchez-Ferrero, G.[Gonzalo], Martin-Fernandez, M.[Marcos], Alberola-Lopez, C.[Carlos],
Automatic noise estimation in images using local statistics. Additive and multiplicative cases,
IVC(27), No. 6, 4 May 2009, pp. 756-770.
Elsevier DOI 0904
Noise estimation; Mode; Restoration; Gaussian noise; Local statistics BibRef

Steidl, G., Teuber, T.,
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods,
JMIV(36), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
BibRef

Setzer, S.[Simon], Steidl, G., Teuber, T.,
Deblurring Poissonian images by split Bregman techniques,
JVCIR(21), No. 3, April 2010, pp. 193-199.
Elsevier DOI 1003
Deblurring; Poisson noise; I-divergence; Kullback-Leibler divergence; TV; Alternating split Bregman algorithm; Douglas-Rachford splitting BibRef

Bioucas-Dias, J.M., Figueiredo, M.A.T.,
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization,
IP(19), No. 7, July 2010, pp. 1720-1730.
IEEE DOI 1007
BibRef

Afonso, M.V., Bioucas-Dias, J.M., Figueiredo, M.A.T.,
Fast Image Recovery Using Variable Splitting and Constrained Optimization,
IP(19), No. 9, September 2010, pp. 2345-2356.
IEEE DOI 1008
BibRef

Teodoro, A.M., Bioucas-Dias, J.M., Figueiredo, M.A.T.,
Image restoration and reconstruction using variable splitting and class-adapted image priors,
ICIP16(3518-3522)
IEEE DOI 1610
Gaussian mixture model BibRef

Afonso, M.V., Bioucas-Dias, J.M.[Jose M.], Figueiredo, M.A.T.[Mario A. T.],
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems,
IP(20), No. 3, March 2011, pp. 681-695.
IEEE DOI 1103
BibRef

Figueiredo, M.A.T.[Mario A. T.], Bioucas-Dias, J.M.[Jose M.],
Restoration of Poissonian Images Using Alternating Direction Optimization,
IP(19), No. 12, December 2010, pp. 3133-3145.
IEEE DOI 1011
BibRef
And:
Frame-based deconvolution of Poissonian images using alternating direction optimization,
ICIP10(3549-3552).
IEEE DOI 1009
BibRef

Rodrigues, I.[Isabel], Sanches, J.M.[Joao M.],
Fluorescence microscopy imaging denoising with log-Euclidean priors and photobleaching compensation,
ICIP09(809-812).
IEEE DOI 0911
BibRef

Rodrigues, I.[Isabel], Sanches, J.M.[Joao M.], Bioucas-Dias, J.M.[Jose M.],
Denoising of medical images corrupted by Poisson noise,
ICIP08(1756-1759).
IEEE DOI 0810
See also Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation. BibRef

Li, F.[Fang], Ng, M.K.[Michael K.], Shen, C.M.[Chao-Min],
Multiplicative Noise Removal With Spatially Varying Regularization Parameters,
SIIMS(3), No. 1, 2010, pp. 1-20.
DOI Link 1002
multiplicative noise; total variation; textures; spatially varying regularization parameters BibRef

Fang, F.M.[Fa-Ming], Li, F.[Fang], Yang, X.M.[Xiao-Mei], Shen, C.M.[Chao-Min], Zhang, G.X.[Gui-Xu],
Single image dehazing and denoising with variational method,
IASP10(219-222).
IEEE DOI 1004
BibRef

Shi, J.N.[Jia-Ning], Osher, S.J.[Stanley J.],
A Nonlinear Inverse Scale Space Method For A Convex Multiplicative Noise Model,
SIIMS(1), No. 3, 2008, pp. 294-321. inverse scale space; total variation; multiplicative noise; denoising; Bregman distance
DOI Link BibRef 0800

Huang, Y.M.[Yu-Mei], Ng, M.K.[Michael K.], Wen, Y.W.[You-Wei],
A New Total Variation Method For Multiplicative Noise Removal,
SIIMS(2), No. 1, 2009, pp. 20-40. image denoising; multiplicative noise; total variation; convex function
DOI Link BibRef 0900

Liao, H.Y.[Hai-Yong], Li, F.[Fang], Ng, M.K.[Michael K.],
Selection of regularization parameter in total variation image restoration,
JOSA-A(26), No. 11, November 2009, pp. 2311-2320.
WWW Link. 0911
BibRef

Durand, S.[Sylvain], Fadili, J.[Jalal], Nikolova, M.[Mila],
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients,
JMIV(36), No. 3, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients,
SSVM09(282-294).
Springer DOI 0906
BibRef

Chen, D.Q., Cheng, L.Z.,
Spatially Adapted Total Variation Model to Remove Multiplicative Noise,
IP(21), No. 4, April 2012, pp. 1650-1662.
IEEE DOI 1204
BibRef

Shi, B.[Baoli], Huang, L.H.[Li-Hong], Pang, Z.F.[Zhi-Feng],
Fast algorithm for multiplicative noise removal,
JVCIR(23), No. 1, January 2012, pp. 126-133.
Elsevier DOI 1112
Multiplicative noise; Anisotropic total variation; Maximum a posteriori; Convex function; Alternating minimization algorithm; Proximal operator; Gamma distribution; Newton method BibRef

Yun, S., Woo, H.,
A New Multiplicative Denoising Variational Model Based on m th Root Transformation,
IP(21), No. 5, May 2012, pp. 2523-2533.
IEEE DOI 1204
BibRef

Chan, R.H., Ma, J.,
A Multiplicative Iterative Algorithm for Box-Constrained Penalized Likelihood Image Restoration,
IP(21), No. 7, July 2012, pp. 3168-3181.
IEEE DOI 1206
BibRef

Huang, Y.M., Moisan, L., Ng, M.K., Zeng, T.,
Multiplicative Noise Removal via a Learned Dictionary,
IP(21), No. 11, November 2012, pp. 4534-4543.
IEEE DOI 1210
BibRef

Xiao, Y.[Yu], Zeng, T.[Tieyong],
Poisson noise removal via learned dictionary,
ICIP10(1177-1180).
IEEE DOI 1009
BibRef

Liu, J.[Jun], Huang, T.Z.[Ting-Zhu], Xu, Z.B.[Zong-Ben], Lv, X.G.[Xiao-Guang],
High-order total variation-based multiplicative noise removal with spatially adapted parameter selection,
JOSA-A(30), No. 10, October 2013, pp. 1956-1966.
WWW Link. 1310
BibRef

Kang, M.J.[Myung-Joo], Yun, S.W.[Sang-Woon], Woo, H.[Hyenkyun],
Two-Level Convex Relaxed Variational Model for Multiplicative Denoising,
SIIMS(6), No. 2, 2013, pp. 875-903.
DOI Link 1307
BibRef

Dong, Y.Q., Zeng, T.Y.,
A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise,
SIIMS(6), No. 3, 2013, pp. 1598-1625.
DOI Link 1310
BibRef

Sciacchitano, F.[Federica], Dong, Y.Q.[Yi-Qiu], Zeng, T.Y.[Tie-Yong],
Variational Approach for Restoring Blurred Images with Cauchy Noise,
SIIMS(8), No. 3, 2015, pp. 1894-1922.
DOI Link 1511
BibRef

Chen, L.Y.[Li-Yuan], Zeng, T.Y.[Tie-Yong],
A Convex Variational Model for Restoring Blurred Images with Large Rician Noise,
JMIV(53), No. 1, September 2015, pp. 92-111.
WWW Link. 1505
BibRef

Hao, Y.[Yan], Xu, J.L.[Jian-Lou],
An effective dual method for multiplicative noise removal,
JVCIR(25), No. 2, 2014, pp. 306-312.
Elsevier DOI 1402
Image denoising BibRef

Wang, F., Zhao, X.L., Ng, M.K.,
Multiplicative Noise and Blur Removal by Framelet Decomposition and l_1 -Based L-Curve Method,
IP(25), No. 9, September 2016, pp. 4222-4232.
IEEE DOI 1609
convex programming BibRef

Zhao, X.L., Wang, F., Ng, M.K.,
A New Convex Optimization Model for Multiplicative Noise and Blur Removal,
SIIMS(7), No. 1, 2014, pp. 456-475.
DOI Link 1404
BibRef

Chan, R., Yang, H., Zeng, T.,
A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise,
SIIMS(7), No. 1, 2014, pp. 98-127.
DOI Link 1404
BibRef

Chen, Y.J.[Yun-Jin], Feng, W.[Wensen], Ranftl, R., Qiao, H.[Hong], Pock, T.,
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction,
SPLetters(21), No. 11, November 2014, pp. 1370-1374.
IEEE DOI 1408
Markov processes BibRef

Feng, W.[Wensen], Qiao, H.[Hong], Chen, Y.J.[Yun-Jin],
Poisson Noise Reduction with Higher-Order Natural Image Prior Model,
SIIMS(9), No. 3, 2016, pp. 1502-1524.
DOI Link 1610
BibRef

Feng, W.[Wensen], Chen, Y.J.[Yun-Jin],
Speckle Reduction with Trained Nonlinear Diffusion Filtering,
JMIV(58), No. 1, May 2017, pp. 162-178.
WWW Link. 1704
BibRef

Kang, M.M.[Myeong-Min], Kang, M.J.[Myung-Joo], Jung, M.Y.[Mi-Youn],
Nonconvex higher-order regularization based Rician noise removal with spatially adaptive parameters,
JVCIR(32), No. 1, 2015, pp. 180-193.
Elsevier DOI 1511
Rician noise removal BibRef

Sharif, M.[Muhammad], Hussain, A.[Ayyaz], Jaffar, M.A.[Muhammad Arfan], Choi, T.S.[Tae-Sun],
Fuzzy-based hybrid filter for Rician noise removal,
SIViP(10), No. 1, February 2016, pp. 215-224.
Springer DOI 1601
BibRef

Chen, L.[Lixia], Liu, X.J.[Xu-Jiao], Wang, X.W.[Xue-Wen], Zhu, P.F.[Ping-Fang],
Multiplicative Noise Removal via Nonlocal Similarity-Based Sparse Representation,
JMIV(54), No. 2, February 2016, pp. 199-215.
Springer DOI 1602
BibRef

Liu, M.[Min], Fan, Q.B.[Qi-Bin],
A modified convex variational model for multiplicative noise removal,
JVCIR(36), No. 1, 2016, pp. 187-198.
Elsevier DOI 1603
Multiplicative noise BibRef

Ullah, A.[Asmat], Chen, W.[Wen], Sun, H.[HongGuang], Khan, M.A.[Mushtaq Ahmad],
A modified multi-grid algorithm for a novel variational model to remove multiplicative noise,
JVCIR(40, Part B), No. 1, 2016, pp. 485-501.
Elsevier DOI 1610
Maximum a posteriori (MAP) BibRef

Escande, P.[Paul], Weiss, P.[Pierre], Zhang, W.[Wenxing],
A Variational Model for Multiplicative Structured Noise Removal,
JMIV(57), No. 1, January 2017, pp. 43-55.
Springer DOI 1701
BibRef

De los Reyes, J.C., Sch÷nlieb, C.B., Valkonen, T.,
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models,
JMIV(57), No. 1, January 2017, pp. 1-25.
Springer DOI 1701
BibRef

Karami, A.[Azam], Tafakori, L.[Laleh],
Image denoising using generalised Cauchy filter,
IET-IPR(11), No. 9, September 2017, pp. 767-776.
DOI Link 1709
BibRef


Seelamantula, C.S.[Chandra Sekhar], Blu, T.[Thierry],
Image denoising in multiplicative noise,
ICIP15(1528-1532)
IEEE DOI 1512
Gamma distribution BibRef

Kitchener, M.A.[Matthew Andrew], Bouzerdoum, A.[Abdesselam], Phung, S.L.[Son Lam],
Adaptive regularization for multiple image restoration using an extended Total Variations approach,
ICIP11(697-700).
IEEE DOI 1201
BibRef

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

Ponomarenko, N.N.[Nikolay N.], Lukin, V.V.[Vladimir V.], Astola, J.T.[Jaakko T.], Egiazarian, K.O.[Karen O.],
Non-local Sigma Filter,
CIAP15(II:483-493).
Springer DOI 1511
See also Automatic Design of Locally Adaptive Filters for Pre-processing of Images Subject to Further Interpretation. 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 0609
BibRef

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


Last update:Nov 18, 2017 at 20:56:18