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.D.[Xiao-Dan], 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

Dar, Y., Elad, M., Bruckstein, A.M.,
Compression for Multiple Reconstructions,
ICIP18(440-444)
IEEE DOI 1809
Image coding, Optimization, Standards, Image reconstruction, Rate-distortion, Distortion, Rendering (computer graphics), alternating direction method of multipliers (ADMM) BibRef

Dar, Y., Elad, M., Bruckstein, A.M.,
Optimized Pre-Compensating Compression,
IP(27), No. 10, October 2018, pp. 4798-4809.
IEEE DOI 1808
data compression, distortion, image restoration, liquid crystal displays, video coding, alternating direction method of multipliers (ADMM) BibRef

Remez, T., Litany, O., Giryes, R.[Raja], Bronstein, A.M.,
Deep class-aware image denoising,
ICIP17(1895-1899)
IEEE DOI 1803
Convolutional codes, Face, Image denoising, Noise measurement, Noise reduction, Semantics, Training, Image denoising, machine learning 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
Award, JVCI, HM. 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

Zou, C.Z.[Chang-Zhong], Xia, Y.S.[You-Shen],
Bayesian dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise,
SP:IC(60), No. 1, 2018, pp. 29-41.
Elsevier DOI 1712
BibRef
And:
Blind hyperspectral image super resolution via simultaneously sparse and TV constraint,
ICIP17(4048-4052)
IEEE DOI 1803
Estimation error, Hyperspectral imaging, Kernel, Optimization, Spatial resolution, blind super resolution, hyperspectral image, total variation. BibRef

Chang, H.B.[Hui-Bin], Lou, Y.F.[Yi-Fei], Duan, Y.P.[Yu-Ping], Marchesini, S.[Stefano],
Total Variation-Based Phase Retrieval for Poisson Noise Removal,
SIIMS(11), No. 1, 2018, pp. 24-55.
DOI Link 1804
BibRef

Chang, H.B.[Hui-Bin], Marchesini, S.[Stefano], Lou, Y.F.[Yi-Fei], Zeng, T.Y.[Tie-Yong],
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm,
SIIMS(11), No. 1, 2018, pp. 56-93.
DOI Link 1804
BibRef

Di Martino, M.[MatÝas], Facciolo, G.[Gabriele],
An Analysis and Implementation of Multigrid Poisson Solvers With Verified Linear Complexity,
IPOL(8), 2018, pp. 192-218.
DOI Link 1808
Code, Poisson Solver. BibRef

Wang, C.[Cong], Yang, J.B.[Jian-Bin],
Poisson noise removal of images on graphs using tight wavelet frames,
VC(34), No. 10, October 2018, pp. 1357-1369.
WWW Link. 1809
BibRef

Remez, T., Litany, O., Giryes, R., Bronstein, A.M.,
Class-Aware Fully Convolutional Gaussian and Poisson Denoising,
IP(27), No. 11, November 2018, pp. 5707-5722.
IEEE DOI 1809
Noise reduction, Image denoising, Convolution, Noise measurement, Training, Neural networks, Face, Image denoising, Gaussian noise, class-aware denoising BibRef


Tsutake, C., Yoshida, T.,
Reduction of Poisson Noise in Coded Exposure Photography,
ICIP18(3938-3942)
IEEE DOI 1809
Discrete Fourier transforms, Lighting, Photography, Photonics, Image sensors, Compressed sensing, Image coding, image recovery, compressed sensing BibRef

Yang, Q., Jung, C., Fu, Q., Song, H.,
Low Light Image Denoising Based on Poisson Noise Model and Weighted TV Regularization,
ICIP18(3199-3203)
IEEE DOI 1809
TV, Noise reduction, Image denoising, Image edge detection, Photonics, Smoothing methods, Image restoration, Denoising, total variation BibRef

Patil, S.[Sukanya], Rajwade, A.[Ajit],
Poisson Noise Removal for Image Demosaicing,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Zhao, L., Zhang, J., Wei, Z.,
Skellam distribution based adaptive two-stage non-local methods for photon-limited poisson noisy image reconstruction,
ICIP17(2433-2437)
IEEE DOI 1803
Indexes, Poisson image, Skellam distribution, non-local method, pre-reconstructed image, two-stage strategy BibRef

Niknejad, M., Bioucas-Dias, J.M., Figueiredo, M.A.T.,
Class-specific image denoising using importance sampling,
ICIP17(1242-1246)
IEEE DOI 1803
Bayes methods, Estimation, Face, Image denoising, Monte Carlo methods, Noise measurement, Noise reduction, non-local means BibRef

Niknejad, M., Bioucas-Dias, J.M., Figueiredo, M.A.T.,
Class-specific poisson denoising by patch-based importance sampling,
ICIP17(1247-1251)
IEEE DOI 1803
Clustering algorithms, Face, Gaussian distribution, Monte Carlo methods, Noise measurement, Noise reduction, importance sampling BibRef

Radow, G.[Georg], Breu▀, 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 17, 2018 at 09:12:27