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.,
A Convergent Image Fusion Algorithm Using Scene-Adapted
Gaussian-Mixture-Based Denoising,
IP(28), No. 1, January 2019, pp. 451-463.
IEEE DOI
1810
BibRef
Earlier:
Image restoration and reconstruction using variable splitting and
class-adapted image priors,
ICIP16(3518-3522)
IEEE DOI
1610
Convex functions, Noise reduction, Convergence, Noise measurement,
Image fusion, Linear programming, Inverse problems, Plug-and-play.
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
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.Y.[Tie-Yong],
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.
DOI 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.[Thomas],
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.X.[Li-Xia],
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.G.[Hong-Guang],
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.X.[Wen-Xing],
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.,
Schönlieb, 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
Xu, X.L.[Xin-Li],
Yu, T.[Teng],
Xu, X.M.[Xin-Mei],
Hou, G.J.[Guo-Jia],
Liu, R.W.[Ryan Wen],
Pan, H.Z.[Hui-Zhu],
Variational total curvature model for multiplicative noise removal,
IET-CV(12), No. 4, June 2018, pp. 542-552.
DOI Link
1805
BibRef
Chen, L.X.[Li-Xia],
Zhu, P.F.[Ping-Fang],
Wang, X.W.[Xue-Wen],
Low-rank constraint with sparse representation for image restoration
under multiplicative noise,
SIViP(13), No. 1, February 2019, pp. 179-187.
WWW Link.
1901
BibRef
Yao, W.,
Guo, Z.,
Sun, J.,
Wu, B.,
Gao, H.,
Multiplicative Noise Removal for Texture Images Based on Adaptive
Anisotropic Fractional Diffusion Equations,
SIIMS(12), No. 2, 2019, pp. 839-873.
DOI Link
1907
BibRef
Ren, F.[Fuquan],
Zhou, R.R.[Roberta Rui],
Optimization model for multiplicative noise and blur removal based on
Gaussian curvature regularization,
JOSA-A(35), No. 5, May 2018, pp. 798-812.
DOI Link
1912
Image reconstruction-restoration, Inverse problems,
Noise in imaging systems, Fourier transforms, Synthetic aperture radar
BibRef
Liu, P.F.[Peng-Fei],
Hybrid higher-order total variation model for multiplicative noise
removal,
IET-IPR(14), No. 5, 17 April 2020, pp. 862-873.
DOI Link
2004
BibRef
Liu, X.X.[Xiao-Xia],
Lu, J.[Jian],
Shen, L.X.[Li-Xin],
Xu, C.[Chen],
Xu, Y.[Yuesheng],
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its
Proximal Alternating Reweighted Minimization Algorithm,
SIIMS(13), No. 3, 2020, pp. 1595-1629.
DOI Link
2010
BibRef
Yang, H.[Huan],
Li, H.W.[Hong-Wei],
Duan, Y.P.[Yu-Ping],
Adaptive trainable non-linear reaction diffusion for Rician noise
removal,
IET-IPR(14), No. 14, December 2020, pp. 3547-3561.
DOI Link
2012
BibRef
Liu, Z.F.[Zhi-Fang],
Chang, H.[Huibin],
Duan, Y.P.[Yu-Ping],
Variational Rician Noise Removal via Splitting on Spheres,
SIIMS(15), No. 2, 2022, pp. 521-549.
DOI Link
2205
BibRef
Wu, T.T.[Ting-Ting],
Gu, X.Y.[Xiao-Yu],
Li, Z.[Zeyu],
Li, Z.[Zhi],
Niu, J.W.[Jian-Wei],
Zeng, T.Y.[Tie-Yong],
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with
Rician Noise,
SIIMS(15), No. 2, 2022, pp. 424-454.
DOI Link
2205
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-François],
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 .