Adaptive Regularization of the NL-Means: Application to Image and Video Denoising, IEEE Transactions on Image Processing, vol.23, issue.8, pp.3506-3521, 2014. ,
DOI : 10.1109/TIP.2014.2329448
URL : https://hal.archives-ouvertes.fr/hal-00854830
Edge-Based Multi-modal Registration and Application for Night Vision Devices, Journal of Mathematical Imaging and Vision, vol.21, issue.7, pp.1-20, 2015. ,
DOI : 10.1007/s10851-014-0554-8
URL : https://hal.archives-ouvertes.fr/hal-01068431
TV-NL : Une coopération entre les NL-means et les méthodes variationnelles, GRETSI, 2013. ,
Adaptive regularization of the NL-means for video denoising, 2014 IEEE International Conference on Image Processing (ICIP), pp.2704-2708, 2014. ,
DOI : 10.1109/ICIP.2014.7025547
URL : https://hal.archives-ouvertes.fr/hal-01016610
Estimation of the noise level function based on a non-parametric detection of homogeneous image regions, Soumis à International Conference on Image Processing (ICIP), 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01138809
Estimation du niveau de bruit par la détection non paramétrique de zones homogènes, 2015. ,
Full orientation invariance and improved feature selectivity of 3d sift with application to medical image analysis, IEEE Comput. Vis. and Pattern Recognition (CVPR), pp.1-8, 2008. ,
Digital filters as absolute norm regularizers, IEEE Transactions on Signal Processing, vol.40, issue.6, pp.1548-1562, 1992. ,
DOI : 10.1109/78.139258
The transformation of poisson, binomial and negative-binomial data, Biometrika, pp.246-254, 1948. ,
Some proximal methods for poisson intensity CBCT and PET, Inverse Problems and Imaging, vol.6, issue.17, pp.565-598, 2012. ,
Speckle removal from SAR images in the undecimated wavelet domain, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.11, pp.2363-2374, 2002. ,
DOI : 10.1109/TGRS.2002.805083
Multiresolution MAP Despeckling of SAR Images Based on Locally Adaptive Generalized Gaussian pdf Modeling, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3385-3399, 2006. ,
DOI : 10.1109/TIP.2006.881970
Analysis of a Variational Framework for Exemplar-Based Image Inpainting, Multiscale Modeling & Simulation, vol.10, issue.2, pp.473-514, 2012. ,
DOI : 10.1137/110848281
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward???backward splitting, and regularized Gauss???Seidel methods, Mathematical Programming, vol.31, issue.1, pp.91-129, 2013. ,
DOI : 10.1007/s10107-011-0484-9
URL : https://hal.archives-ouvertes.fr/inria-00636457
Mathematical problems in image processing: partial differential equations and the calculus of variations, 2006. ,
A variational approcah to removing multiplicative noise, SIAM Journal Applied Math, vol.68, issue.42, pp.925-946, 2008. ,
Wavelet-based level set evolution for classification of textured images, IEEE Transactions on Image Processing, vol.12, issue.12, pp.1634-1641, 0196. ,
DOI : 10.1109/TIP.2003.819309
URL : https://hal.archives-ouvertes.fr/hal-00202004
Image Decomposition into a Bounded Variation Component and an Oscillating Component, Journal of Mathematical Imaging and Vision, vol.15, issue.3, pp.71-88, 2005. ,
DOI : 10.1007/s10851-005-4783-8
URL : https://hal.archives-ouvertes.fr/hal-00202001
Some First-Order Algorithms for Total Variation Based Image Restoration, Journal of Mathematical Imaging and Vision, vol.33, issue.2, pp.307-327, 2009. ,
DOI : 10.1007/s10851-009-0149-y
URL : https://hal.archives-ouvertes.fr/hal-00260494
Unsupervised, information-theoretic, adaptive image filtering for image restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.3, pp.364-376, 2006. ,
DOI : 10.1109/TPAMI.2006.64
Image Denoising Based on Adapted Dictionary Computation, 2007 IEEE International Conference on Image Processing, pp.109-112, 2007. ,
DOI : 10.1109/ICIP.2007.4379258
Gaussian-Cauchy mixture modeling for robust signal-dependent noise estimation, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5357-5361 ,
DOI : 10.1109/ICASSP.2014.6854626
Indirect Estimation of Signal-Dependent Noise With Nonadaptive Heterogeneous Samples, IEEE Transactions on Image Processing, vol.23, issue.8, pp.34-59 ,
DOI : 10.1109/TIP.2014.2321504
Total variation-penalized Poisson likelihood estimation for ill-posed problems, Advances in Computational Mathematics, vol.7, issue.2, pp.35-59, 2009. ,
DOI : 10.1007/s10444-008-9081-8
Patchmatch: a randomized correspondence algorithm for structural image editing, ACM Trans. Graphics, vol.28, issue.3, pp.24-33, 2009. ,
Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008. ,
DOI : 10.1016/j.cviu.2007.09.014
Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.2805-2808, 1997. ,
DOI : 10.1109/ICASSP.1997.595372
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2419-2434, 2009. ,
DOI : 10.1109/TIP.2009.2028250
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
Gradient-based algorithms with applications to signal-recovery problems, Convex Optimization in Signal Processing and Communications, pp.33-88, 2010. ,
DOI : 10.1017/CBO9780511804458.003
Discrete Regularization on Weighted Graphs for Image and Mesh Filtering, Scale Space and Variational Methods in Computer Vision (SSVM), pp.128-139, 2007. ,
DOI : 10.1007/978-3-540-72823-8_12
URL : https://hal.archives-ouvertes.fr/hal-00333374
Space-Time Adaptation for Patch-Based Image Sequence Restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.1096-1102, 2007. ,
DOI : 10.1109/TPAMI.2007.1064
URL : https://hal.archives-ouvertes.fr/inria-00071294
Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences, IEEE Transactions on Medical Imaging, vol.29, issue.2, pp.442-454, 2010. ,
DOI : 10.1109/TMI.2009.2033991
URL : https://hal.archives-ouvertes.fr/inria-00541082
A survey of image registration techniques, ACM Computing Surveys, vol.24, issue.4, pp.325-376, 1992. ,
DOI : 10.1145/146370.146374
Iterated Nonlocal Means for Texture Restoration, Scale Space and Variational Methods in Computer Vision (SSVM), pp.13-24, 2007. ,
DOI : 10.1007/978-3-540-72823-8_2
Efficient Nonlocal Means for Denoising of Textural Patterns, IEEE Transactions on Image Processing, vol.17, issue.7, pp.1083-1092, 2008. ,
DOI : 10.1109/TIP.2008.924281
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.3, pp.500-513, 2011. ,
DOI : 10.1109/TPAMI.2010.143
Denoising image sequences does not require motion compensation, Conf. Advanced Video and Signal-Based Surveillance (AVSS), pp.70-74, 2005. ,
DOI : 10.1109/avss.2005.1577245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394
A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-53, 2005. ,
DOI : 10.1137/040616024
URL : https://hal.archives-ouvertes.fr/hal-00271141
Image enhancement by non-local reverse heat equation, 2006. ,
Nonlocal Image and Movie Denoising, International Journal of Computer Vision, vol.14, issue.1, pp.123-139, 2008. ,
DOI : 10.1007/s11263-007-0052-1
URL : https://hal.archives-ouvertes.fr/hal-00271147
Curvelets: A surprisingly effective nonadaptive representation for objects with edges. DTIC Document, 1999. ,
A theory of shape identification, 2008. ,
DOI : 10.1007/978-3-540-68481-7
URL : https://hal.archives-ouvertes.fr/inria-00319719
Image recovery via total variation minimization and related problems, Numerische Mathematik, vol.76, issue.2, pp.167-188, 1997. ,
DOI : 10.1007/s002110050258
A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011. ,
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826
Total variation blind deconvolution, IEEE Transactions on Image Processing, vol.7, issue.3, pp.370-375, 1998. ,
DOI : 10.1109/83.661187
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.1221
High-Order Total Variation-Based Image Restoration, SIAM Journal on Scientific Computing, vol.22, issue.2, pp.503-516, 2000. ,
DOI : 10.1137/S1064827598344169
Function Approximation, SIAM Journal on Applied Mathematics, vol.65, issue.5, pp.1817-1837, 2005. ,
DOI : 10.1137/040604297
Simultaneous total variation image inpainting and blind deconvolution, International Journal of Imaging Systems and Technology, vol.8, issue.1, pp.92-102, 2005. ,
DOI : 10.1002/ima.20041
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2218
Patch-Based Near-Optimal Image Denoising, IEEE Transactions on Image Processing, vol.21, issue.4, pp.1635-1649, 2012. ,
DOI : 10.1109/TIP.2011.2172799
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9390
A new approach to identify the nature of the noise affecting an image, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.285-288, 1992. ,
DOI : 10.1109/ICASSP.1992.226195
Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1998. ,
DOI : 10.1137/S1064827596304010
Variance of sample variance, Joint Statistical Meetings, Section on Survey Research Methods, pp.1291-1293, 2008. ,
A generalization of principal components analysis to the exponential family, Advances in Neural Inf. Process. Syst. (NIPS), pp.617-624, 2001. ,
Analysis and Extension of the Percentile Method, Estimating a Noise Curve from a Single Image, Image Processing On Line, vol.3, pp.332-359, 2013. ,
DOI : 10.5201/ipol.2013.90
Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image, Image Processing On Line, vol.5, pp.64-86, 2014. ,
DOI : 10.5201/ipol.2016.124
A non-parametric approach for the estimation of intensity-frequency dependent noise, 2014 IEEE International Conference on Image Processing (ICIP), pp.4261-4265, 2014. ,
DOI : 10.1109/ICIP.2014.7025865
Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005. ,
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649
Proximal Splitting Methods in Signal Processing, 2010. ,
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807
Iterative bias reduction: a comparative study, Statistics and Computing, vol.74, issue.6, pp.777-791, 2013. ,
DOI : 10.1007/s11222-012-9346-4
URL : https://hal.archives-ouvertes.fr/hal-00860140
Fast Non Local Means Denoising for 3D MR Images, Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.33-40, 2006. ,
DOI : 10.1007/11866763_5
Bayesian non local means-based speckle filtering, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1291-1294, 2008. ,
DOI : 10.1109/ISBI.2008.4541240
Video denoising by sparse 3D transform-domain collaborative filtering, European Signal Processing Conf. (EUSIPCO), pp.145-149, 2007. ,
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, IEEE Transactions on Image Processing, vol.16, issue.8, pp.2080-2095, 2007. ,
DOI : 10.1109/TIP.2007.901238
Fully non-local super-resolution via spectral hashing, IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol.146, pp.1137-1140, 2011. ,
A Fast and Exact Algorithm for Total Variation Minimization, Pattern recognition and image analysis, pp.351-359, 2005. ,
DOI : 10.1007/11492429_43
Fast non-local filtering applied to electron cryomicroscopy, IEEE Int. Symp. Biomedical Imaging (ISBI), vol.134, pp.1331-1334, 2008. ,
A fast non-local image denoising algorithm, Image Processing: Algorithms and Systems VI, pp.1-8, 2008. ,
DOI : 10.1117/12.765505
Training methods for image noise level estimation on wavelet components, EURASIP Journal on Applied Signal Processing, pp.2400-2407, 2004. ,
Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights, IEEE Transactions on Image Processing, vol.18, issue.12, pp.2661-2672, 2009. ,
DOI : 10.1109/TIP.2009.2029593
URL : https://hal.archives-ouvertes.fr/ujm-00431266
Poisson NL means: Unsupervised non local means for Poisson noise, 2010 IEEE International Conference on Image Processing, pp.801-804, 2010. ,
DOI : 10.1109/ICIP.2010.5653394
URL : https://hal.archives-ouvertes.fr/hal-00957982
Non-local Methods with Shape-Adaptive Patches (NLM-SAP), Journal of Mathematical Imaging and Vision, vol.13, issue.4, pp.1-18, 2011. ,
DOI : 10.1007/s10851-011-0294-y
URL : https://hal.archives-ouvertes.fr/hal-00536723
How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise, International Journal of Computer Vision, vol.21, issue.11, pp.86-102, 2012. ,
DOI : 10.1007/s11263-012-0519-6
URL : https://hal.archives-ouvertes.fr/hal-00672357
NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.4, pp.2021-2038, 2014. ,
DOI : 10.1109/TGRS.2014.2352555
URL : https://hal.archives-ouvertes.fr/hal-00844118
On debiasing restoration algorithms: applications to total-variation and nonlocal-means. arXiv preprint, pp.2015-132 ,
URL : https://hal.archives-ouvertes.fr/hal-01123542
SAR-SIFT: A SIFT-like algorithm for applications on SAR images, 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012. ,
DOI : 10.1109/IGARSS.2012.6350671
A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise, SIAM Journal on Imaging Sciences, vol.6, issue.2, pp.1140-1174, 2012. ,
DOI : 10.1137/120885000
URL : https://hal.archives-ouvertes.fr/hal-00718612
Multiscale contrast enhancement for radiographies: Laplacian pyramid versus fast wavelet transform, IEEE Transactions on Medical Imaging, vol.21, issue.4, pp.343-353, 2002. ,
DOI : 10.1109/TMI.2002.1000258
Framing pyramids, IEEE Trans. Signal Process, vol.51, issue.9, pp.2329-2342, 2003. ,
Recovery of Blocky Images from Noisy and Blurred Data, SIAM Journal on Applied Mathematics, vol.56, issue.4, pp.1181-1198, 1996. ,
DOI : 10.1137/S003613999427560X
Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994. ,
DOI : 10.1093/biomet/81.3.425
De-noising by soft-thresholding, IEEE Transactions on Information Theory, vol.41, issue.3, pp.613-627, 1995. ,
DOI : 10.1109/18.382009
Wedgelets: Nearly minimax estimation of edges. The Annals of Statistics, pp.859-897, 1999. ,
The TVL1 Model: A Geometric Point of View, Multiscale Modeling & Simulation, vol.8, issue.1, pp.154-189, 2009. ,
DOI : 10.1137/090757083
URL : https://hal.archives-ouvertes.fr/hal-00380195
A Bias-Variance Approach for the Nonlocal Means, SIAM Journal on Imaging Sciences, vol.4, issue.2, pp.760-788, 2011. ,
DOI : 10.1137/100790902
URL : https://hal.archives-ouvertes.fr/hal-00947885
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries, IEEE Transactions on Image Processing, vol.15, issue.12, pp.3736-3745, 2006. ,
DOI : 10.1109/TIP.2006.881969
Smear correction in a digital camera, US Patent, vol.7693, p.347, 2010. ,
Deconvolution of Poissonian images using variable splitting and augmented Lagrangian optimization, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, pp.733-736, 2009. ,
DOI : 10.1109/SSP.2009.5278459
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981. ,
DOI : 10.1145/358669.358692
Image contrast enhancement technique, p.607, 1991. ,
Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data, IEEE Transactions on Image Processing, vol.17, issue.10, 2008. ,
DOI : 10.1109/TIP.2008.2001399
Example-based super-resolution, IEEE Computer Graphics and Applications, vol.22, issue.2, pp.56-65, 2002. ,
DOI : 10.1109/38.988747
Residual variance and residual pattern in nonlinear regression, Biometrika, vol.73, issue.3, pp.625-633, 1986. ,
DOI : 10.1093/biomet/73.3.625
Background first- and second-order modeling for point target detection, Applied Optics, vol.51, issue.31, pp.7701-7713, 2012. ,
DOI : 10.1364/AO.51.007701
Variational denoising of partly textured images by spatially varying constraints, IEEE Transactions on Image Processing, vol.15, issue.8, pp.2281-2289, 2006. ,
DOI : 10.1109/TIP.2006.875247
Nonlocal Linear Image Regularization and Supervised Segmentation, Multiscale Modeling & Simulation, vol.6, issue.2, pp.595-630, 2007. ,
DOI : 10.1137/060669358
Nonlocal Operators with Applications to Image Processing, Multiscale Modeling & Simulation, vol.7, issue.3, pp.1005-1028, 2008. ,
DOI : 10.1137/070698592
An improved non-local denoising algorithm. Local and Non-Local Approximation (LNLA), pp.143-156, 2008. ,
Are Natural Images of Bounded Variation?, SIAM Journal on Mathematical Analysis, vol.33, issue.3, pp.634-648, 2001. ,
DOI : 10.1137/S0036141000371150
Total variation based interpolation, European Signal Processing Conf. (EUSIPCO), pp.1741-1744, 1998. ,
Intensity gradient based registration and fusion of multi-modal images, Medical Image Computing and Computer- Assisted Intervention (MICCAI), vol.46, issue.191, pp.292-299, 2006. ,
An introduction to multisensor data fusion, Proceedings of the IEEE, vol.85, issue.1, pp.6-23, 1997. ,
DOI : 10.1109/5.554205
The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems, SIAM Journal on Scientific Computing, vol.14, issue.6, pp.1487-1503, 1993. ,
DOI : 10.1137/0914086
Sparse poisson intensity reconstruction algorithms, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, pp.634-637, 2009. ,
DOI : 10.1109/SSP.2009.5278495
Multiple view geometry in computer vision, 2003. ,
DOI : 10.1017/CBO9780511811685
Guided Image Filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.6, pp.1397-1409, 2013. ,
DOI : 10.1109/TPAMI.2012.213
Radiometric CCD camera calibration and noise estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.3, pp.267-276, 1994. ,
DOI : 10.1109/34.276126
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration, Medical Image Analysis, vol.16, issue.7, pp.1423-1435, 2012. ,
DOI : 10.1016/j.media.2012.05.008
Modeling and real-time estimation of signal-dependent noise in quantum-limited imaging, WSEAS Int. Conf. Signal Processing, Robotics and Automation (ISPRA), pp.183-191, 2007. ,
Determining optical flow, Technical symposium east, pp.319-331, 1981. ,
DOI : 10.1016/0004-3702(81)90024-2
Robust estimation of a location parameter. The Annals of Statistics, pp.73-101, 1964. ,
Robust multi-sensor image alignment, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.959-966, 1998. ,
DOI : 10.1109/ICCV.1998.710832
Image tube intensified electronic imaging, Handbook of Optics, vol.1, issue.21, pp.1-32, 1995. ,
A NEW MEASURE OF RANK CORRELATION, Biometrika, vol.30, issue.1-2, pp.81-93, 1938. ,
DOI : 10.1093/biomet/30.1-2.81
THE TREATMENT OF TIES IN RANKING PROBLEMS, Biometrika, vol.33, issue.3, pp.239-251, 1945. ,
DOI : 10.1093/biomet/33.3.239
Rank Correlation Methods., Biometrika, vol.44, issue.1/2, 1948. ,
DOI : 10.2307/2333282
Optimal Spatial Adaptation for Patch-Based Image Denoising, IEEE Transactions on Image Processing, vol.15, issue.10, pp.2866-2878, 2006. ,
DOI : 10.1109/TIP.2006.877529
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal, Scale Space and Variational Methods in Computer Vision (SSVM), pp.520-532, 2007. ,
DOI : 10.1007/978-3-540-72823-8_45
URL : https://hal.archives-ouvertes.fr/hal-00645444
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation, International Journal of Computer Vision, vol.27, issue.2, pp.45-69, 2008. ,
DOI : 10.1007/s11263-007-0096-2
Deblurring and Denoising of Images by Nonlocal Functionals, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1091-1115, 2005. ,
DOI : 10.1137/050622249
Quantile regression, 2005. ,
Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.2, pp.165-177, 1985. ,
DOI : 10.1109/TPAMI.1985.4767641
Sparse geometric image representations with bandelets, IEEE Transactions on Image Processing, vol.14, issue.4, pp.423-438, 2005. ,
DOI : 10.1109/TIP.2005.843753
A variational approach to reconstructing images corrupted by poisson noise, Journal of Mathematical Imaging and Vision, vol.27, issue.3, pp.257-263, 2007. ,
A Nonlocal Bayesian Image Denoising Algorithm, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1665-1688, 2013. ,
DOI : 10.1137/120874989
The noise clinic: A universal blind denoising algorithm, 2014 IEEE International Conference on Image Processing (ICIP), pp.2674-2678, 2014. ,
DOI : 10.1109/ICIP.2014.7025541
The Noise Clinic: a Blind Image Denoising Algorithm, 86 et 87.) [Lee 1981] J.-S. Lee. Refined filtering of image noise using local statistics. Computer Graphics and Image Processing, pp.1-54, 1981. ,
DOI : 10.5201/ipol.2015.125
Image Registration, Optical Flow, and Local Rigidity, Journal of Mathematical Imaging and Vision, vol.14, issue.2, pp.131-147, 2001. ,
DOI : 10.1007/3-540-47778-0_3
Image fusion with guided filtering, IEEE Trans. Image Process, vol.22, issue.7, pp.2864-2875, 2013. ,
Noise estimation from a single image, IEEE Comput. Vis. and Pattern Recognition (CVPR), pp.901-908, 2006. ,
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation, European Conf. Computer Vision (ECCV), pp.706-719, 2010. ,
DOI : 10.1007/978-3-642-15558-1_51
Single-Image Noise Level Estimation for Blind Denoising, IEEE Transactions on Image Processing, vol.22, issue.12, pp.5226-5237, 2013. ,
DOI : 10.1109/TIP.2013.2283400
Total Variation as a Local Filter, SIAM Journal on Imaging Sciences, vol.4, issue.2, pp.651-694, 2011. ,
DOI : 10.1137/100785855
URL : https://hal.archives-ouvertes.fr/hal-00457763
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
A simple and efficient search algorithm for blockmatching motion estimation, IEEE Trans. Circuits Syst. Video Technol, vol.7, issue.2, pp.429-433, 1997. ,
Multimodality image registration by maximization of mutual information, IEEE Transactions on Medical Imaging, vol.16, issue.2, pp.187-198, 1997. ,
DOI : 10.1109/42.563664
Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms, IEEE Transactions on Image Processing, vol.21, issue.9, pp.3952-3966, 2012. ,
DOI : 10.1109/TIP.2012.2199324
Fast image and video denoising via non-local means of similar neighborhoods, IEEE Signal Process. Lett, vol.12, issue.12, pp.134-136, 2005. ,
Non-local sparse models for image restoration, 2009 IEEE 12th International Conference on Computer Vision, pp.2272-2279, 2009. ,
DOI : 10.1109/ICCV.2009.5459452
Denoising of singlelook SAR images based on variance stabilization and nonlocal filters, Int. Conf. Mathematical Methods in Electromagnetic Theory (MMET), pp.1-4, 2010. ,
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising, IEEE Transactions on Image Processing, vol.20, issue.1, pp.99-109, 2011. ,
DOI : 10.1109/TIP.2010.2056693
Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1081-1084, 2012. ,
DOI : 10.1109/ICASSP.2012.6288074
Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993. ,
DOI : 10.1109/78.258082
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.5769
A wavelet tour of signal processing Academic press, 1999. ,
A wavelet tour of signal processing: the sparse way Academic press, 2008. ,
Video orbits of the projective group a simple approach to featureless estimation of parameters, IEEE Transactions on Image Processing, vol.6, issue.9, pp.1281-1295, 1997. ,
DOI : 10.1109/83.623191
A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005. ,
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227
A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical, IEEE Signal Processing Magazine, vol.30, issue.1, pp.106-128, 2013. ,
DOI : 10.1109/MSP.2011.2179329
No-Reference Image Quality Assessment in the Spatial Domain, IEEE Transactions on Image Processing, vol.21, issue.12, pp.4695-4708, 2012. ,
DOI : 10.1109/TIP.2012.2214050
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality, IEEE Transactions on Image Processing, vol.20, issue.12, pp.3350-3364, 2011. ,
DOI : 10.1109/TIP.2011.2147325
Adaptive principal components and image denoising, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003. ,
DOI : 10.1109/ICIP.2003.1246908
Image restoration with noise suppression using a multiresolution support Astronomy and Astrophysics Suppl, Ser, vol.112, pp.179-189, 1995. ,
Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, pp.348-365, 1995. ,
DOI : 10.1006/jvci.1995.1029
Estimation of Noise in Images: An Evaluation, CVGIP: Graphical Models and Image Processing, vol.55, issue.4, pp.319-323, 1993. ,
DOI : 10.1006/cgip.1993.1022
Efficient nonlocal-means denoising using the SVD, 2008 15th IEEE International Conference on Image Processing, pp.1732-1735, 2008. ,
DOI : 10.1109/ICIP.2008.4712109
Scale Invariant Feature Transform as feature tracking method in 4D imaging: A feasibility study, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6543-6546, 2012. ,
DOI : 10.1109/EMBC.2012.6347493
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, pp.40-44, 1993. ,
DOI : 10.1109/ACSSC.1993.342465
Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.629-639, 1990. ,
DOI : 10.1109/34.56205
Non-local Regularization of Inverse Problems, Inverse Problems and Imaging, vol.5, issue.2, pp.511-530, 2011. ,
DOI : 10.1007/978-3-540-88690-7_5
Generalised Nonlocal Image Smoothing, International Journal of Computer Vision, vol.9, issue.4, pp.62-87, 2010. ,
DOI : 10.1007/s11263-010-0337-7
Image registration by maximization of combined mutual information and gradient information, IEEE Transactions on Medical Imaging, vol.19, issue.8, pp.809-814, 2000. ,
DOI : 10.1109/42.876307
Mutual-information-based registration of medical images: a survey, IEEE Transactions on Medical Imaging, vol.22, issue.8, pp.986-1004, 0190. ,
DOI : 10.1109/TMI.2003.815867
Asymptotics for Least Absolute Deviation Regression Estimators, Econometric Theory, vol.1, issue.02, pp.186-199, 1991. ,
DOI : 10.1080/02331888808802084
Propagation-separation approach for local likelihood estimation. Probability Theory and Related Fields, pp.335-362, 2006. ,
A method for blind estimation of spatially correlated noise characteristics, Image Processing: Algorithms and Systems VIII, pp.75321-75333, 2010. ,
DOI : 10.1117/12.847986
Image denoising using scale mixtures of gaussians in the wavelet domain, IEEE Transactions on Image Processing, vol.12, issue.11, pp.1338-1351, 2003. ,
DOI : 10.1109/TIP.2003.818640
Blind non-white noise removal in images using gaussian scale mixtures in the wavelet domain, Benelux Signal Processing Symp, 2004. ,
Digital image processing, p.21, 1978. ,
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction, IEEE Transactions on Image Processing, vol.18, issue.1, pp.36-51, 2009. ,
DOI : 10.1109/TIP.2008.2008067
Image Noise Level Estimation by Principal Component Analysis, IEEE Transactions on Image Processing, vol.22, issue.2, pp.687-699, 2013. ,
DOI : 10.1109/TIP.2012.2221728
Image Sensor Noise Parameter Estimation by Variance Stabilization and Normality Assessment, IEEE Transactions on Image Processing, vol.23, issue.9, pp.3990-3998, 2014. ,
DOI : 10.1109/TIP.2014.2339194
Compressed Sensing Performance Bounds Under Poisson Noise, IEEE Transactions on Signal Processing, vol.58, issue.8, pp.3990-4002, 2010. ,
DOI : 10.1109/TSP.2010.2049997
A Generalized Forward-Backward Splitting, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1199-1226, 2013. ,
DOI : 10.1137/120872802
URL : https://hal.archives-ouvertes.fr/hal-00613637
Monte-Carlo Sure: A Black-Box Optimization of Regularization Parameters for General Denoising Algorithms, IEEE Transactions on Image Processing, vol.17, issue.9, 2008. ,
DOI : 10.1109/TIP.2008.2001404
Estimation of image noise variance, Proc. Vision, Image, and Signal Processing, pp.80-84, 1999. ,
DOI : 10.1049/ip-vis:19990238
The correlation ratio as a new similarity measure for multimodal image registration, Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.1115-1124, 1998. ,
DOI : 10.1097/00004728-199307000-00004
URL : https://hal.archives-ouvertes.fr/cea-00333675
Convex analysis, 1970. ,
DOI : 10.1515/9781400873173
Using mutual information and crosscorrelation as metrics for registration of images, Journal of Theoretical and Applied Information Technology, vol.4, issue.6, 2008. ,
Noise modeling for intensified camera in fluorescence imaging: Application to image denoising, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.600-603, 2013. ,
DOI : 10.1109/ISBI.2013.6556546
URL : https://hal.archives-ouvertes.fr/hal-00931360
Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992. ,
DOI : 10.1016/0167-2789(92)90242-F
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain, IEEE Transactions on Image Processing, vol.21, issue.8, pp.3339-3352, 2012. ,
DOI : 10.1109/TIP.2012.2191563
URL : https://hal.archives-ouvertes.fr/hal-00811769
On Two Parameters for Denoising With Non-Local Means, IEEE Signal Processing Letters, vol.17, issue.3, pp.269-272, 2010. ,
DOI : 10.1109/LSP.2009.2038954
From patches to pixels in Non-Local methods: Weighted-average reprojection, 2010 IEEE International Conference on Image Processing, pp.2010-134, 2010. ,
DOI : 10.1109/ICIP.2010.5650780
Block-based noise estimation using adaptive gaussian filtering, IEEE Transactions on Consumer Electronics, vol.51, issue.1, pp.218-226, 2005. ,
DOI : 10.1109/TCE.2005.1405723
SUSAN ? a new approach to low level image processing, International Journal of Computer Vision, vol.23, issue.1, pp.45-78, 1997. ,
DOI : 10.1023/A:1007963824710
A review of classic edege detectors, Image Process. On Line, p.2012, 2012. ,
Adaptive image contrast enhancement using generalizations of histogram equalization, IEEE Transactions on Image Processing, vol.9, issue.5, pp.889-896, 2000. ,
DOI : 10.1109/83.841534
Estimation of the mean of a multivariate normal distribution. The Annals of Statistics, pp.1135-1151, 1981. ,
Spatially adaptive local-featuredriven total variation minimizing image restoration, Optical Science, Engineering and Instrumentation, pp.222-233, 1997. ,
Edge-preserving and scale-dependent properties of total variation regularization, Inverse Problems, vol.19, issue.6, pp.165-187, 2003. ,
DOI : 10.1088/0266-5611/19/6/059
Integrated registration of dynamic renal perfusion MR images, IEEE Int. Conf. Image Process. (ICIP), pp.1923-1926, 2004. ,
TV-NL : Une coopération entre les NL-means et les méthodes variationnelles, GRETSI, 2013. (Cité en, p.43, 2013. ,
Adaptive regularization of the NL-means for video denoising, 2014 IEEE International Conference on Image Processing (ICIP), pp.2704-2708, 2014. ,
DOI : 10.1109/ICIP.2014.7025547
URL : https://hal.archives-ouvertes.fr/hal-01016610
Adaptive Regularization of the NL-Means: Application to Image and Video Denoising, IEEE Transactions on Image Processing, vol.23, issue.8, pp.3506-3521, 2014. ,
DOI : 10.1109/TIP.2014.2329448
URL : https://hal.archives-ouvertes.fr/hal-00854830
Edgebased multi-modal registration and application for night vision devices, Journal of Mathematical Imaging and Vision, pp.1-20, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01068431
Estimation of the noise level function based on a non-parametric detection of homogeneous image regions, pp.2015-2056, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01138809
A fast method for image noise estimation using laplacian operator and adaptive edge detection, Int. Symp. Communications, Control and Signal Processing (ISCCSP), pp.1077-1081, 2008. ,
How to SAIF-ly Boost Denoising Performance, IEEE Transactions on Image Processing, vol.22, issue.4, pp.1470-1485, 2013. ,
DOI : 10.1109/TIP.2012.2231691
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996. ,
Solutions of ill-posed problems, 1977. ,
Feature-Based Alignment of Volumetric Multi-modal Images, Information Processing in Medical Imaging, pp.25-36, 2013. ,
DOI : 10.1007/978-3-642-38868-2_3
Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.839-846, 1998. ,
DOI : 10.1109/ICCV.1998.710815
Exploratory data analysis, 1977. ,
SURE-Based Non-Local Means, IEEE Signal Processing Letters, vol.16, issue.11, pp.973-976, 2009. ,
DOI : 10.1109/LSP.2009.2027669
Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection, IEEE Transactions on Image Processing, vol.20, issue.9, pp.2683-2690, 2011. ,
DOI : 10.1109/TIP.2011.2121083
SAR despeckling guided by an optical image, 2014 IEEE Geoscience and Remote Sensing Symposium, pp.3698-3701, 2014. ,
DOI : 10.1109/IGARSS.2014.6947286
Alignment by maximization of mutual information, Proceedings of IEEE International Conference on Computer Vision, pp.137-154, 1997. ,
DOI : 10.1109/ICCV.1995.466930
Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004. ,
DOI : 10.1109/TIP.2003.819861
Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing, SIAM Journal on Scientific Computing, vol.31, issue.3, pp.2047-2080, 2009. ,
DOI : 10.1137/070696143
URL : https://hal.archives-ouvertes.fr/inria-00166096
Space-Time Completion of Video, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.3, pp.463-476, 2007. ,
DOI : 10.1109/TPAMI.2007.60
Poisson image reconstruction with total variation regularization, 2010 IEEE International Conference on Image Processing, pp.4177-4180, 2010. ,
DOI : 10.1109/ICIP.2010.5649600
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.3149
High-performance llltv ccd camera for nighttime pilotage, SPIE-IS&T Electronic Imaging, pp.14-32, 1992. ,
The potts model. Reviews of modern physics, pp.235-268, 1982. ,
SAR speckle reduction using wavelet denoising and Markov random field modeling, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.10, pp.2196-2212, 2002. ,
DOI : 10.1109/TGRS.2002.802473
Statistical properties of logarithmically transformed speckle, IEEE Trans. Geosci. Remote Sens, vol.40, issue.3, pp.721-727, 2002. ,
MRI-guided brain PET image filtering and partial volume correction, IEEE Nuclear Science Symp. and Medical Imaging Conf, pp.1-5, 2013. ,
DOI : 10.1088/0031-9155/60/3/961
Digital picture processing. an introduction, Series in Information Sciences, 1985. ,
A fast and fully automatic registration approach based on point features for multi-source remote-sensing images, Computers & Geosciences, vol.34, issue.7, pp.838-848, 2008. ,
DOI : 10.1016/j.cageo.2007.10.005
Outdoor augmented reality: State of the art and issues, ACM/IEEE Virtual Reality Int. Conf. (VRIC), pp.177-187, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00339480
Two-stage image denoising by principal component analysis with local pixel grouping, Pattern Recognition, vol.43, issue.4, pp.1531-1549, 2010. ,
DOI : 10.1016/j.patcog.2009.09.023
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction, SIAM Journal on Imaging Sciences, vol.3, issue.3, pp.253-276, 2010. ,
DOI : 10.1137/090746379
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.1059
SAR Image Despeckling Using Bayesian Nonlocal Means Filter With Sigma Preselection, IEEE Geoscience and Remote Sensing Letters, vol.8, issue.4, pp.809-813, 2011. ,
DOI : 10.1109/LGRS.2011.2112331
A regularization framework for learning from graph data. Statistical Relational Learning and its Connections to other fields, 2004. ,
An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement, IEEE Transactions on Medical Imaging, vol.7, issue.4, pp.304-312, 1988. ,
DOI : 10.1109/42.14513
Image registration methods: a survey, Image and Vision Computing, vol.21, issue.11, pp.977-1000, 2003. ,
DOI : 10.1016/S0262-8856(03)00137-9
Scale invariance and noise in natural images, 2009 IEEE 12th International Conference on Computer Vision, pp.2209-2216, 2009. ,
DOI : 10.1109/ICCV.2009.5459476