5.3.9.2 Poisson Noise Removal

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

Rabbani, M.,
Bayesian Filtering of Poisson Noise Using Local Statistics,
ASSP(36), 1988, pp. 933-937. BibRef 8800

Lasota, S.[Slawomir], Niemiro, W.[Wojciech],
A version of the Swendsen-Wang algorithm for restoration of images degraded by Poisson noise,
PR(36), No. 4, April 2003, pp. 931-941.
WWW Link. 0304
See also Positron emission tomography by Markov chain Monte Carlo with auxiliary variables. BibRef

Lu, H., Kim, Y., Anderson, J.M.M.,
Improved Poisson Intensity Estimation: Denoising Application Using Poisson Data,
IP(13), No. 8, August 2004, pp. 1128-1135.
IEEE DOI 0409
BibRef

Le, T.[Triet], Chartrand, R.[Rick], Asaki, T.J.[Thomas J.],
A Variational Approach to Reconstructing Images Corrupted by Poisson Noise,
JMIV(27), No. 3, April 2007, pp. 257-263.
Springer DOI 0704
BibRef

Dupe, F.X., Fadili, J.M., Starck, J.L.,
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations,
IP(18), No. 2, February 2009, pp. 310-321.
IEEE DOI 0901
BibRef

Lefkimmiatis, S.[Stamatios], Maragos, P.[Petros], Papandreou, G.[George],
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising,
IP(18), No. 8, August 2009, pp. 1724-1741.
IEEE DOI 0907
BibRef
And: A1, A3, A2:
Poisson-Haar Transform: A nonlinear multiscale representation for photon-limited image denoising,
ICIP09(3853-3856).
IEEE DOI 0911
BibRef
Earlier: A1, A3, A2:
Photon-limited image denoising by inference on multiscale models,
ICIP08(2332-2335).
IEEE DOI 0810
BibRef
Earlier: A3, A2, Only:
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion,
CVPR05(I: 625-630).
IEEE DOI 0507
BibRef
And: A3, A2, Only:
Image Denoising in Nonlinear Scale-Spaces: Automatic Scale Selection via Cross-Validation,
ICIP05(I: 481-484).
IEEE DOI 0512
BibRef

Lefkimmiatis, S.[Stamatios], Bourquard, A., Unser, M.,
Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications,
IP(21), No. 3, March 2012, pp. 983-995.
IEEE DOI 1203
BibRef

Lefkimmiatis, S.[Stamatios], Unser, M.,
Poisson Image Reconstruction With Hessian Schatten-Norm Regularization,
IP(22), No. 11, 2013, pp. 4314-4327.
IEEE DOI 1310
ADMM BibRef

Makitalo, M., Foi, A.,
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising,
IP(20), No. 1, January 2011, pp. 99-109.
IEEE DOI 1101
BibRef
Earlier:
On the inversion of the Anscombe transformation in low-count Poisson image denoising,
LNLA09(26-32).
IEEE DOI 0908
BibRef

Makitalo, M., Foi, A.,
A Closed-Form Approximation of the Exact Unbiased Inverse of the Anscombe Variance-Stabilizing Transformation,
IP(20), No. 9, September 2011, pp. 2697-2698.
IEEE DOI 1109
BibRef

Makitalo, M., Foi, A.,
Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise,
IP(22), No. 1, January 2013, pp. 91-103.
IEEE DOI 1301
BibRef

Makitalo, M., Foi, A.,
Noise Parameter Mismatch in Variance Stabilization, With an Application to Poisson-Gaussian Noise Estimation,
IP(23), No. 12, December 2014, pp. 5348-5359.
IEEE DOI 1402
Gaussian noise BibRef

Luisier, F., Blu, T., Unser, M.,
Image Denoising in Mixed Poisson-Gaussian Noise,
IP(20), No. 3, March 2011, pp. 696-708.
IEEE DOI 1103
BibRef

Chen, D.Q.[Dai-Qiang], Cheng, L.Z.[Li-Zhi],
Deconvolving Poissonian images by a novel hybrid variational model,
JVCIR(22), No. 7, October 2011, pp. 643-652.
Elsevier DOI 1109
Total variation; Frame coefficients; Split Bregman method; Douglas-Rachford splitting; Poisson noise; Maximum a posteriori estimator; Hybrid model; Image deconvolution BibRef

Harmany, Z.T.[Zachary T.], Marcia, R.F.[Roummel F.], Willett, R.M.[Rebecca M.],
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms: Theory and Practice,
IP(21), No. 3, March 2012, pp. 1084-1096.
IEEE DOI 1203
BibRef
Earlier: A3, A1, A2:
Poisson image reconstruction with total variation regularization,
ICIP10(4177-4180).
IEEE DOI 1009
BibRef

Harmany, Z.T.[Zachary T.], Thompson, D.[Daniel], Willett, R.M.[Rebecca M.], Marcia, R.F.[Roummel F.],
Gradient projection for linearly constrained convex optimization in sparse signal recovery,
ICIP10(3361-3364).
IEEE DOI 1009
BibRef

Lee, C.[Chul], Lee, C.[Chulwoo], Kim, C.S.[Chang-Su],
An MMSE approach to nonlocal image denoising: Theory and practical implementation,
JVCIR(23), No. 3, April 2012, pp. 476-490.
Elsevier DOI 1203
BibRef
Earlier:
MMSE nonlocal means denoising algorithm for Poisson noise removal,
ICIP11(2561-2564).
IEEE DOI 1201
Image denoising; Nonlocal means filter; Minimum mean square error (MMSE) denoising; Bayesian estimation; Noisy nonlocal neighbors; Probabilistic tree search; External database; Image restoration BibRef

Srivastava, R.[Rajeev], Srivastava, S.[Subodh],
Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation,
PRL(34), No. 10, 15 July 2013, pp. 1175-1185.
Elsevier DOI 1306
Image restoration; PDE based filters; Variational framework; Regularization functions; Regularization parameter selection; Generalized cross validations BibRef

Ma, L.Y.[Li-Yan], Moisan, L., Yu, J.[Jian], Zeng, T.[Tieyong],
A Dictionary Learning Approach for Poisson Image Deblurring,
MedImg(32), No. 7, 2013, pp. 1277-1289.
IEEE DOI 1307
Poisson distribution BibRef

Bindilatti, A.A., Mascarenhas, N.D.A.,
A Nonlocal Poisson Denoising Algorithm Based on Stochastic Distances,
SPLetters(20), No. 11, 2013, pp. 1010-1013.
IEEE DOI 1310
Poisson distribution BibRef

Salmon, J.[Joseph], Harmany, Z.[Zachary], Deledalle, C.A.[Charles-Alban], Willett, R.[Rebecca],
Poisson Noise Reduction with Non-local PCA,
JMIV(48), No. 2, February 2014, pp. 279-294.
Springer DOI 1402
BibRef

Salvadeo, D.H.P.[Denis H.P.], Bloch, I.[Isabelle], Tupin, F.[Florence], Mascarenhas, N.D.A.[Nelson D.A.], Levada, A.L.M.[Alexandre L.M.], Deledalle, C.A.[Charles-Alban], Dahdouh, S.[Sonia],
Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions,
ICIP14(2699-2703)
IEEE DOI 1502
Equations BibRef

Sutour, C.[Camille], Aujol, J.F.[Jean-Francois], Deledalle, C.A.[Charles-Alban], Domenger, J.P.[Jean-Philippe],
Adaptive regularization of the NL-means for video denoising,
ICIP14(2704-2708)
IEEE DOI 1502
Adaptation models BibRef

Deledalle, C.A.[Charles-Alban], Salmon, J.[Joseph], Dalalyan, A.S.[Arnak S.],
Image denoising with patch based PCA: local versus global,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Le Montagner, Y., Angelini, E.D., Olivo-Marin, J.C.,
An Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson-Gaussian Noise,
IP(23), No. 3, March 2014, pp. 1255-1268.
IEEE DOI 1403
BibRef
And: Erratum: IP(23), No. 6, June 2014, pp. 2750-2750.
IEEE DOI 1406
Biomedical optical imaging Gaussian noise BibRef

Jin, X.[Xiaodan], Xu, Z.Y.[Zhen-Yu], Hirakawa, K.,
Noise Parameter Estimation for Poisson Corrupted Images Using Variance Stabilization Transforms,
IP(23), No. 3, March 2014, pp. 1329-1339.
IEEE DOI 1403
Poisson distribution BibRef

Chen, D.,
Regularized Generalized Inverse Accelerating Linearized Alternating Minimization Algorithm for Frame-Based Poissonian Image Deblurring,
SIIMS(7), No. 2, 2014, pp. 716-739.
DOI Link 1405
BibRef

Giryes, R.[Raja], Elad, M.[Michael],
Sparsity-Based Poisson Denoising With Dictionary Learning,
IP(23), No. 12, December 2014, pp. 5057-5069.
IEEE DOI 1402
BibRef
And:
Sparsity based poisson inpainting,
ICIP14(2839-2843)
IEEE DOI 1502
Approximation methods Gaussian noise BibRef

Giryes, R.[Raja], Elad, M.[Michael], Bruckstein, A.M.,
Sparsity Based Methods for Overparameterized Variational Problems,
SIIMS(8), No. 3, 2015, pp. 2133-2159.
DOI Link 1511
BibRef

Dar, Y., Bruckstein, A.M., Elad, M., Giryes, R.[Raja],
Postprocessing of Compressed Images via Sequential Denoising,
IP(25), No. 7, July 2016, pp. 3044-3058.
IEEE DOI 1606
data compression BibRef

Wang, L.M.[Li-Ming], Huang, J.J.[Jia-Ji], Yuan, X.[Xin], Krishnamurthy, K.[Kalyani], Greenberg, J.[Joel], Cevher, V.[Volkan], Rodrigues, M.R.D.[Miguel R.D.], Brady, D.[David], Calderbank, R.[Robert], Carin, L.[Lawrence],
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements,
SIIMS(8), No. 3, 2015, pp. 1923-1954.
DOI Link 1511
BibRef

Mansouri, A.[Alamin], Deger, F.[Ferdinand], Pedersen, M.[Marius], Hardeberg, J.Y.[Jon Y.], Voisin, Y.[Yvon],
An adaptive spatial-spectral total variation approach for Poisson noise removal in hyperspectral images,
SIViP(10), No. 3, March 2016, pp. 447-454.
Springer DOI 1602
BibRef

Azzari, L., Foi, A.,
Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising,
SPLetters(23), No. 8, August 2016, pp. 1086-1090.
IEEE DOI 1608
Poisson distribution BibRef

Rakhshanfar, M., Amer, M.A.,
Estimation of Gaussian, Poissonian: Gaussian, and Processed Visual Noise and Its Level Function,
IP(25), No. 9, September 2016, pp. 4172-4185.
IEEE DOI 1609
Gaussian noise BibRef

Rond, A.[Arie], Giryes, R.[Raja], Elad, M.[Michael],
Poisson inverse problems by the Plug-and-Play scheme,
JVCIR(41), No. 1, 2016, pp. 96-108.
Elsevier DOI 1612
Poisson denoising BibRef

Wang, W.[Wei], He, C.J.[Chuan-Jiang],
A Fast and Effective Algorithm for a Poisson Denoising Model With Total Variation,
SPLetters(24), No. 3, March 2017, pp. 269-273.
IEEE DOI 1702
Extraterrestrial measurements BibRef

Chen, D.Q.[Dai-Qiang],
Inexact alternating direction method based on Newton descent algorithm with application to Poisson image deblurring,
SIViP(11), No. 1, January 2017, pp. 89-96.
Springer DOI 1702
BibRef

Tan, X.[Xin], Liu, Y.[Yu], Zuo, C.L.[Cheng-Lin], Zhang, M.J.[Mao-Jun],
A real-time video denoising algorithm with FPGA implementation for Poisson-Gaussian noise,
RealTimeIP(13), No. 2, June 2017, pp. 327-343.
WWW Link. 1708
BibRef

Li, W.L.[Wei-Li], Yin, X.Q.[Xiao-Qing], Liu, Y.[Yu], Zhang, M.J.[Mao-Jun],
Robust video denoising for mixed Poisson, Gaussian and impule noise,
ICIVC17(459-462)
IEEE DOI 1708
Acceleration, Image restoration, Mathematical model, Nickel, Noise reduction, Optimization, Robustness, low rank, mixed noises, robust, sparse, video, denoising BibRef


Radow, G.[Georg], Breuß, M.[Michael], Hoeltgen, L.[Laurent], Fischer, T.[Thomas],
Optimised Anisotropic Poisson Denoising,
SCIA17(I: 502-514).
Springer DOI 1706
BibRef

Welk, M.[Martin],
Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel Regulariser and Poisson-Noise Data Terms,
SSVM17(159-171).
Springer DOI 1706
BibRef

Wu, Z.L.[Zi-Ling], Gao, H.X.[Hong-Xia], Ma, G.[Ge], Wan, Y.Y.[Yan-Ying],
A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise,
NTIRE16(I: 206-221).
Springer DOI 1704
BibRef

Cheng, W.[Wu], Hirakawa, K.[Keigo],
Nonparametric empirical Bayes estimation for multiplicative multiscale innovation in photon-limited imaging,
ICIP15(1855-1859)
IEEE DOI 1512
MMI; Poisson; binomial; photon-limited BibRef

Trinh, D.H.[Dinh-Hoan], Luong, M.[Marie], Dibos, F.[Franccoise], Rocchisani, J.M.[Jean-Marie], Pham, C.D.[Canh-Duong], Linh-Trung, N.[Nguyen], Nguyen, T.Q.[Truong Q.],
An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise,
ICIP14(823-827)
IEEE DOI 1502
Biomedical imaging BibRef

Jezierska, A., Pesquet, J.C., Talbot, H., Chaux, C.,
Iterative poisson-Gaussian noise parametric estimation for blind image denoising,
ICIP14(2819-2823)
IEEE DOI 1502
Estimation BibRef

Dupe, F.X.[Francois-Xavier], Anthoine, S.[Sandrine],
Generalized subspace pursuit and an application to sparse poisson denoising,
ICIP14(2824-2828)
IEEE DOI 1502
Algorithm design and analysis BibRef

Oh, A.K.[Albert K.], Harmany, Z.T.[Zachary T.], Willett, R.M.[Rebecca M.],
To e or not to e in poisson image reconstruction,
ICIP14(2829-2833)
IEEE DOI 1502
Adaptation models BibRef

Zhang, C.[Chen], Hirakawa, K.[Keigo],
Blind full reference quality assessment of poisson image denoising,
ICIP14(2719-2723)
IEEE DOI 1502
Cameras BibRef

Trussell, H.J., Zhang, R.,
The dominance of Poisson noise in color digital cameras,
ICIP12(329-332).
IEEE DOI 1302
BibRef

Liao, W.[Wenzhi], Aelterman, J.[Jan], Luong, H.Q.[Hiep Quang], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Two-stage denoising method for hyperspectral images combining KPCA and total variation,
ICIP13(2048-2052)
IEEE DOI 1402
Hyperspectral images BibRef

Goossens, B.[Bart], Luong, H.[Hiep], Aelterman, J.[Jan], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Reconstruction of High Dynamic Range images with poisson noise modeling and integrated denoising,
ICIP11(3429-3432).
IEEE DOI 1201
BibRef

Dupe, F.X., Fadili, M.J., Starch, J.L.,
Inverse problems with poisson noise: Primal and primal-dual splitting,
ICIP11(1901-1904).
IEEE DOI 1201
BibRef

Carlavan, M.[Mikael], Blanc-Feraud, L.[Laure],
Two constrained formulations for deblurring Poisson noisy images,
ICIP11(689-692).
IEEE DOI 1201
BibRef

Huang, L.[Lili], Xiao, L.[Liang], Wei, Z.H.[Zhi-Hui], Zhang, Z.R.[Zheng-Rong],
Variational image restoration based on Poisson singular integral and curvelet-type decomposition space regularization,
ICIP11(685-688).
IEEE DOI 1201
BibRef

Yan, M.[Ming],
EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise,
ISVC11(I: 33-42).
Springer DOI 1109
BibRef

Talbot, H., Phelippeau, H., Akil, M., Bara, S.,
Efficient Poisson denoising for photography,
ICIP09(3881-3884).
IEEE DOI 0911
BibRef

Nadar, M.S.[Miriappan S.], Hunt, B.R.[Bobby R.], Sheppard, D.G.[David G.],
Multiframe Poisson MAP deconvolution of astronomical images,
ICIP96(III: 109-111).
IEEE DOI BibRef 9600

Nadar, M.S., Hunt, B.R., Sementilli, P.J.,
A unified space decomposition formulation of iterative methods in image deconvolution,
ICIP94(I: 46-50).
IEEE DOI 9411
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Total Variation Restoration, TV Restoration .


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