Alessandro Foi Publications Preprints of publications not yet linked or listed can be requested by e-mail.

Publications in Google Scholar (with citations and cross-references) ORCID 0000-0001-8228-3187 Web of Science RESEARCHERID HKV-7567-2023 / D-6010-2012 Scopus Author ID 8561867500 ResearchGate

P. Goyes-Peñafiel, E. Vargas, Y. Mäkinen, A. Foi, and H. Arguello, “Volumetric Filtering for Shot Gather Interpolation in Swath Seismic Acquisition”, IEEE Geoscience and Remote Sensing Letters, vol. 20, art. no. 7504005, pp. 1-5, 2023.  https://doi.org/10.1109/LGRS.2023.3293486

E. Mäntylä, T. Montonen, L. Azzari, S. Mattola, M. Hannula, M. Vihinen-Ranta, J. Hyttinen, M. Vippola, A. Foi, S. Nymark, and T. O. Ihalainen, “Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina”, Molecular Biology of the Cell, 2023.  https://doi.org/10.1091/mbc.E22-09-0448

N. Eslahi and A. Foi, “Improved Sparse Signal Recovery via Adaptive Correlated Noise Model”, IEEE Trans. Computational Imaging, vol. 8, pp. 945-960, 2022.  https://doi.org/10.1109/TCI.2022.32147575 Matlab software

T. Gelvez-Barrera, H. Arguello, and A. Foi, “Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral-Multispectral Image Fusion”, IEEE Trans. Geoscience and Remote Sensing, vol. 60, art no. 5537112, pp. 1-12, 2022.  https://doi.org/10.1109/TGRS.2022.3203294

Y. Mäkinen, S. Marchesini, and A. Foi, “Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise”, Journal of Synchrotron Radiation, vol. 29, pp. 829-842, 2022.  https://doi.org/10.1107/S1600577522002739

M. Honkanen, S. Santa-aho, L. Laurson, N. Eslahi, A. Foi, and M. Vippola, “Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noise”, Acta Materialia, vol. 221, no. 117378, 2021.  https://doi.org/10.1016/j.actamat.2021.117378

Z. Xu and A. Foi, “Anisotropic Denoising of 3D Point Clouds by Aggregation of Multiple Surface-Adaptive Estimates”, IEEE Trans. Visualization and Computer Graphics, vol. 27, no. 6, pp. 2851-2868, June 2021.  (full-size PDF, 69MB)  https://doi.org/10.1109/TVCG.2019.2959761 Matlab and Python software 

D. Stucchi, A. Corsini, G. Genty, G. Boracchi, and A. Foi, “A weighted loss function to predict control parameters for supercontinuum generation via neural networks”, Proc. 2021 IEEE International Workshop on Machine Learning for Signal Processing, Oct. 25-28, 2021.  https://doi.org/10.1109/MLSP52302.2021.9596142 Dataset on Zenodo 

Y. Mäkinen, S. Marchesini, and A. Foi, “Ring artifact reduction via multiscale nonlocal collaborative filtering of spatially correlated noise”, Journal of Synchrotron Radiation, vol. 28, pp. 876-888, 2021.  https://doi.org/10.1107/S1600577521001910

A. Hietanen, J. Latokartano, A. Foi, R. Pieters, V. Kyrki, M. Lanz, J.-K. Kämäräinen, “Benchmarking pose estimation for robot manipulation”, Robotics and Autonomous Systems, vol. 143, 103810, September 2021.  https://doi.org/10.1016/j.robot.2021.103810 Software on Github  Dataset on Zenodo 

L. R. Borges, M. A. C. Brochi, Z. Xu, A. Foi, M. A. C. Vieira, and P. M. Azevedo-Marques, “Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise”, IOP Physics in Medicine & Biology, vol. 65, no. 22, 2020.  https://doi.org/10.1088/1361-6560/abbb74

Y. Mäkinen, L. Azzari, and A. Foi, “Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching”, IEEE Trans. Image Process., vol. 29, pp. 8339-8354, 2020.  https://doi.org/10.1109/TIP.2020.3014721 Matlab and Python software 

N. Eslahi and A. Foi, “Joint Sparse Recovery of Misaligned Multimodal Images Via Adaptive Local and Nonlocal Cross-Modal Regularization”, Proc. 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019), Guadeloupe, West Indies December 15-18, 2019.  https://doi.org/10.1109/CAMSAP45676.2019.9022478 Matlab software 

Y. Mäkinen, L. Azzari, and A. Foi, “Exact Transform-Domain Noise Variance for Collaborative Filtering of Stationary Correlated Noise”, Proc. 2019 IEEE Int. Conf. Image Process. (ICIP), pp. 185-189, Taipei, Taiwan, September 22-25, 2019.  https://doi.org/10.1109/ICIP.2019.8802964 Matlab and Python software 

D. Carrera, G. Boracchi, A. Foi, and B. Wohlberg, “On the Weighting for Convolutional Sparse Coding”, Proc. SPARS 2019 Signal Processing with Adaptive Sparse Structured Representations, Toulouse, France, July 1-4, 2019.

M. Koskela, K. Immonen, M. Mäkitalo, A. Foi, T. Viitanen, P. Jääskeläinen, H. Kultala, and J. Takala, “Blockwise Multi-Order Feature Regression for Real-Time Path Tracing Reconstruction”, ACM Trans. Graphics, vol. 38, no. 5, pp. 138:1-138:14, June 2019.  https://doi.org/10.1145/3269978  Project page

L. R. Borges, B. Barufaldi, R. F. Caron, P. R. Bakic, A. Foi, A. D. A. Maidment, M. A. C. Vieira, “Technical Note: Noise models for virtual clinical trials of digital breast tomosynthesis”, Medical Physics, vol. 46, no. 6, pp. 2683-2689, June 2019.  https://doi.org/10.1002/mp.13534

L. Azzari, L. R. Borges, and A. Foi, “Modeling and Estimation of Signal-Dependent and Correlated Noise”, in Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends, M. Bertalmío (Ed.), Springer, 2018.  https://doi.org/10.1109/10.1007/978-3-319-96029-6_1 Google Books

E. Sánchez-Monge, S. Lin, N. Högasten, and A. Foi, “Low-Frequency Nonuniformity Correction in Static Thermal Images”, Proc. 2018 Asilomar Conference on Signals, Systems, and Computers, Pacific Grove (CA), October 28-31, 2018.  https://doi.org/10.1109/ACSSC.2018.8645395

N. Eslahi and A. Foi, “Anisotropic Spatiotemporal Regularization in Compressive Video Recovery by Adaptively Modeling the Residual Errors as Correlated Noise”, Proc. 2018 IEEE Image, Video, and Multidim. Signal Process. Workshop (IVMSP), Zagori, Greece, June 10-12, 2018.  https://doi.org/10.1109/IVMSPW.2018.8448455

L. R. Borges, L. Azzari, P. R. Bakic, A. D. A. Maidment, M. A. C. Vieira, and A. Foi, “Restoration of low-dose digital breast tomosynthesis”, Measurement Science and Technology, vol. 29, no. 6 (Special Feature on Advanced X-Ray Tomography), April 2018.  https://doi.org/10.1088/1361-6501/aab2f6

C. Cruz, A. Foi, V. Katkovnik, and K. Egiazarian, “Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising”, IEEE Signal Processing Letters, vol. 25, no. 8, pp. 1216-1220, August 2018.  https://doi.org/10.1109/LSP.2018.2850222  arXiv:1803.02112 Matlab software 

L. R. Borges, I. Guerrero, P. R. Bakic, A. Foi, A. D. A. Maidment, and M. A. C. Vieira, “Method for Simulating Dose Reduction in Digital Breast Tomosynthesis”, IEEE Trans. Medical Imaging, vol. 36, no. 11, pp. 2331-2342, November 2017.  https://doi.org/10.1109/TMI.2017.2715826

D. Carrera, G. Boracchi, A. Foi, and B. Wohlberg, “Sparse overcomplete denoising: aggregation versus global optimization”, IEEE Signal Processing Letters, vol. 24, no. 10, pp. 1468-1472, October 2017.  https://doi.org/10.1109/LSP.2017.2734119

L. Azzari and A. Foi, “Variance Stabilization in Poisson Image Deblurring”, Proc. 2017 IEEE Int. Sym. Biomedical Imaging, pp. 728-731, Melbourne, Australia, April 18-21, 2017.  https://doi.org/10.1109/ISBI.2017.7950622 Matlab software 

D. Carrera, G. Boracchi, A. Foi, and B. Wohlberg, “Sparse denoising: aggregation versus global optimization”, Proc. SPARS 2017 Signal Processing with Adaptive Sparse Structured Representations, Lisbon, Portugal, June 5-8, 2017.

N. Eslahi, V. Ramakrishnan, K. Wiik, and A. Foi, “Sparse signal recovery via correlated degradation model”, Proc. SPARS 2017 Signal Processing with Adaptive Sparse Structured Representations, Lisbon, Portugal, June 5-8, 2017.

L. R. Borges, P. R. Bakic, A. Foi, A. D. A. Maidment, and M. A. C. Vieira, “Pipeline for effective denoising of digital mammography and digital breast tomosynthesis”, Medical Imaging 2017: Physics of Medical Imaging, Proc. of SPIE, Vol. 10132, 1013206, Orlando (FL), USA, February 11–16, 2017.  https://doi.org/10.1117/12.2255058

L. Azzari and A. Foi, “Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising”, IEEE Signal Processing Letters, vol. 23, no. 8, pp. 1086-1090, August 2016. (with supplementary)  https://doi.org/10.1109/LSP.2016.2580600 Matlab software 

D. Carrera, G. Boracchi, A. Foi, B. Wohlberg, “Scale-invariant anomaly detection with multiscale group-sparse models”, Proc. IEEE 2016 Int. Conf. Image Process. (ICIP 2016), Phoenix (AZ), USA, pp. 3892-3896, September 25-28, 2016.  https://doi.org/10.1109/ICIP.2016.7533089

L. R. Borges, M. A. C. Vieira, and A. Foi, “Unbiased Injection of Signal-Dependent Noise in Variance-Stabilized Range”, IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1494-1498, October 2016.  https://doi.org/10.1109/LSP.2016.2601689

A. Foi and G. Boracchi, “Foveated nonlocal self-similarity”, Int. J. Computer Vision, vol. 120, no. 1, pp. 78-110, October 2016.  https://doi.org/10.1007/s11263-016-0898-1 Matlab software 

D. Carrera, G. Boracchi, A. Foi and B. Wohlberg, “Detecting Anomalous Structures by Convolutional Sparse Models”, Proc. 2015 International Joint Conference on Neural Networks (IJCNN 2015), pp. 1-8, Killarney, Ireland, July 12-17, 2015.  https://doi.org/10.1109/IJCNN.2015.7280790

D. Carrera, G. Boracchi, A. Foi and B. Wohlberg, “Anomaly Detection Using Convolutional Sparse Models”, Proc. SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations, no. 1142, Cambridge, United Kingdom, July 6-9, 2015.

L. Azzari and A. Foi, “Collaborative Filtering based on Group Coordinates for Smoothing and Directional Sharpening”, Proc. 2015 IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP 2015), pp. 1573-1577, Brisbane, Australia, April 2015.  https://doi.org/10.1109/ICASSP.2015.7178235

M. Mäkitalo and A. Foi, “Noise parameter mismatch in variance stabilization, with an application to Poisson-Gaussian noise estimation”, IEEE Trans. Image Process., vol. 23, no. 12, pp. 5348-5359, December 2014.  https://doi.org/10.1109/TIP.2014.2363735

A. Foi, M. Maggioni, A. Pepe, S. Rueda, A. T. Papageorghiou, J. A. Noble, and J. Tohka, “Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation”, Computerized Medical Imaging and Graphics, vol. 38, no. 8, pp. 774-784, December 2014.  https://doi.org/10.1016/j.compmedimag.2014.09.006 Matlab software 

M. Maggioni, E. Sánchez-Monge, and A. Foi, “Joint Removal of Random and Fixed-Pattern Noise through Spatiotemporal Video Filtering”, IEEE Trans. Image Process., vol. 23, no. 10, pp. 4282-4296, October 2014.  https://doi.org/10.1109/TIP.2014.2345261 Matlab software 

M. Maggioni, G. Jin, A. Foi, and T. N. Pappas, “Structural Texture Similarity Metric Based on Intra-Class Variances”, Proc. 2014 IEEE Int. Conf. Image Process., ICIP 2014, pp. 2002-2006, Paris, France, October 27-30, 2014.  https://doi.org/10.1109/ICIP.2014.7025399

A. Foi, “Signal-Dependent Noise and Stabilization of Variance”, Lecture notes of the tutorial at 2014 IEEE Int. Conf. Image Process., ICIP 2014, Paris, France, October 27, 2014.

L. Azzari and A. Foi, “Indirect estimation of signal-dependent noise with non-adaptive heterogeneous samples”, IEEE Trans. Image Process., vol. 23, no. 8, pp. 3459-3467, August 2014.  https://doi.org/10.1109/TIP.2014.2321504

A. Foi and G. Boracchi, “Nonlocal Foveated Principal Components”, Proc. 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014, pp. 145-148, Gold Coast, Australia, June 29-July 2, 2014.  https://doi.org/10.1109/SSP.2014.6884596

L. Azzari and A. Foi, “Gaussian-Cauchy mixture modeling for robust signal-dependent noise estimation”, Proc. 2014 IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP 2014), pp. 5357-5361, Florence, Italy, May 2014.  https://doi.org/10.1109/ICASSP.2014.6854626 Matlab software 

S. Rueda, S. Fathima, C. L. Knight, M. Yaqub, A. T. Papageorghiou, B. Rahmatullah, A. Foi, M. Maggioni, A. Pepe, J. Tohka, R. V. Stebbing, J. E. McManigle, A. Ciurte, X. Bresson, M. Bach Cuadra, C. Sun, G. V. Ponomarev, M. S. Gelfand, M. D. Kazanov, C-W. Wang, H-C. Chen, C-W. Peng, C-M. Hung, and J. A. Noble, “Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge”, IEEE Trans. Medical Imaging, vol. 33, no. 4, pp. 797-813, April 2014.  https://doi.org/10.1109/TMI.2013.2276943  

A. Foi and G. Boracchi, “Anisotropically Foveated Nonlocal Image Denoising”, Proc. IEEE Int. Conf. Image Process., ICIP 2013, pp. 464-468, Melbourne, Australia, September 15-18, 2013.  https://doi.org/10.1109/ICIP.2013.6738096 Matlab software 

A. Foi and G. Boracchi, “Anisotropic Foveated Self-Similarity”, Proc. Signal Processing with Adaptive Sparse Structured Representations, SPARS 2013, Lausanne, Switzerland, July 8-11, 2013. Matlab software 

M. Mäkitalo and A. Foi, “Optimal inversion of the generalized Anscombe transformation for Poisson-Gaussian noise”, IEEE Trans. Image Process., vol. 22, no. 1, pp. 91-103, January 2013.  https://doi.org/10.1109/TIP.2012.2202675 Matlab software 

M. Maggioni, V. Katkovnik, K. Egiazarian, and A. Foi, “A Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction”, IEEE Trans. Image Process., vol. 22, no. 1, pp. 119-133, January 2013.  https://doi.org/10.1109/TIP.2012.2210725 Matlab software 

M. Maggioni, G. Boracchi, A. Foi, and K. Egiazarian, “Video Denoising, Deblocking and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms”, IEEE Trans. Image Process., vol. 21, no. 9, pp. 3952-3966, September 2012.  https://doi.org/10.1109/TIP.2012.2199324 Matlab software 

G. Boracchi and A. Foi, “Modeling the Performance of Image Restoration from Motion Blur”, IEEE Trans. Image Process. vol. 21, no. 8, pp. 3502-3517, August 2012.  https://doi.org/10.1109/TIP.2012.2192126 Matlab software 

A. Foi, M. Maggioni, A. Pepe, and J. Tohka, “Head contour extraction from fetal ultrasound images by difference of Gaussians revolved along elliptical paths”, Proc. Challenge US: Biometric Measurements from Fetal Ultrasound Images, 2012 IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp. 1-3, Barcelona (Spain), May 2-5, 2012.    

M. Mäkitalo and A. Foi, “Poisson-Gaussian denoising using the exact unbiased inverse of the generalized Anscombe transformation”, Proc. 2012 IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP 2012), pp. 1081-1084, Kyoto, Japan, March 2012.  https://doi.org/10.1109/ICASSP.2012.6288074 Matlab software 

M. Maggioni and A. Foi, “Nonlocal transform-domain denoising of volumetric data with groupwise adaptive variance estimation”, Proc. SPIE Electronic Imaging 2012, Computational Imaging X, 8296-22, Burlingame (CA), USA, January 2012.  https://doi.org/10.1117/12.912109 Matlab software 

A. Foi and G. Boracchi, “Foveated self-similarity in nonlocal image filtering”, Proc. SPIE Electronic Imaging 2012, Human Vision and Electronic Imaging XVII, vol. 8291, no. 829110, Burlingame (CA), USA, January 2012.  https://doi.org/10.1117/12.912217 Matlab software 

A. Foi, “Noise Estimation and Removal in MR Imaging: the Variance-Stabilization Approach”, Proc. 2011 IEEE International Symposium on Biomedical Imaging, ISBI 2011, pp. 1809-1814, Chicago (IL), USA, April 2011.  https://doi.org/10.1109/ISBI.2011.5872758 Matlab software 

M. Mäkitalo and A. Foi, “A closed-form approximation of the exact unbiased inverse of the Anscombe variance-stabilizing transformation”, IEEE Trans. Image Process., vol. 20, no. 9, pp. 2697-2698, September 2011.  https://doi.org/10.1109/TIP.2011.2121085 Matlab software 

G. Boracchi and A. Foi, “Uniform motion blur in Poissonian noise: blur/noise trade-off”, IEEE Trans. Image Process., vol. 20, no. 2, pp. 592-598, February 2011.  https://doi.org/10.1109/TIP.2010.2062196 raw images (86-Mb zip file)

M. Maggioni, G. Boracchi, A. Foi, and K. Egiazarian, “Video denoising using separable 4D nonlocal spatiotemporal transforms”, Proc. SPIE Electronic Imaging 2011, Image Processing: Algorithms and Systems IX, 7870-2, San Francisco (CA), USA, January 2011.  https://doi.org/10.1117/12.872569 Matlab software 

M. Mäkitalo and A. Foi, “Spatially adaptive alpha-rooting in BM3D sharpening”, Proc. SPIE Electronic Imaging 2011, Image Processing: Algorithms and Systems IX, 7870-39, San Francisco (CA), USA, January 2011.  https://doi.org/10.1117/12.872606

M. Mäkitalo and A. Foi, “Optimal inversion of the Anscombe transformation in low-count Poisson image denoising”, IEEE Trans. Image Process., vol. 20, no. 1, pp. 99-109, January 2011. https://doi.org/10.1109/TIP.2010.2056693 Matlab software 

O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range Imaging: Algorithms for Acquisition and Display”, in Computational Photography: Methods and Applications (R. Lukac, ed.), CRC Press / Taylor & Francis, ISBN: 978-1-4398-1749-0, October 2010      

A. Danielyan, A. Foi, V. Katkovnik, and K. Egiazarian, “Spatially adaptive filtering as regularization in inverse imaging: compressive sensing, upsampling, and super-resolution”, in Super-Resolution Imaging (P. Milanfar, ed.), CRC Press / Taylor & Francis, ISBN: 978-1-4398-1930-2, September 2010.      

M. Maggioni, R. Mysore, E. Coffey, and A. Foi, “Four-dimensional collaborative denoising and enhancement of timelapse imaging of mCherry-EB3 in hippocampal neuron growth cones”, poster at BioPhotonics and Imaging Conference (BioPIC) 2010, Dunboyne, Ireland, October 2010.

V. Katkovnik and A. Foi, “Advanced Image Processing Based on Spatially Adaptive Nonlocal Image Filtering and Regularization”, Lecture notes of the tutorial at 17th IEEE Int. Conf. Image Process., ICIP 2010, Hong Kong, 26-29 September 2010.

M. Mäkitalo, A. Foi, D. Fevralev, and V. Lukin, “Denoising of single-look SAR images based on variance stabilization and nonlocal filters”, Proc. Int. Conf. Math. Meth. Electromagn. Th., MMET 2010, Kiev, Ukraine, September 2010. https://doi.org/10.1109/MMET.2010.5611418

A. Danielyan, A. Foi, V. Katkovnik, and K. Egiazarian, “Denoising of Multispectral Images via Nonlocal Groupwise Spectrum-PCA”, Proc. 5th European Conf. Colour in Graphics, Imaging, and Vision, 12th Int. Sym. Multispectral Colour Science, CGIV2010/MCS'10, pp. 261-266, Joensuu, Finland, June 2010. https://www.imaging.org/IST/store/epub.cfm?abstrid=44051

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, “From local kernel to nonlocal multiple-model image denoising”, Int. J. Computer Vision, vol. 86, no. 1, pp. 1-32, January 2010. https://doi.org/10.1007/s11263-009-0272-7

A. Foi, “Clipped noisy images: heteroskedastic modeling and practical denoising”, Signal Processing, vol. 89, no. 12, pp. 2609-2629, December 2009. https://doi.org/10.1016/j.sigpro.2009.04.035 Matlab software 

A. Foi, “Optimization of variance-stabilizing transformations”, preprint.

M. Mäkitalo and A. Foi, “On the inversion of the Anscombe transformation in low-count Poisson image denoising”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2009, Tuusula, Finland, pp. 26-32, August 2009. https://doi.org/10.1109/LNLA.2009.5278406 Matlab software 

A. Danielyan and A. Foi, “Noise variance estimation in nonlocal transform domain”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2009, Tuusula, Finland, pp. 41-45, August 2009. https://doi.org/10.1109/LNLA.2009.5278404

A. Danielyan, M. Vehviläinen, A. Foi, V. Katkovnik, and K. Egiazarian, “Cross-color BM3D filtering of noisy raw data”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2009, Tuusula, Finland, pp. 125-129, August 2009. https://doi.org/10.1109/LNLA.2009.5278395 Matlab software 

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “BM3D Image Denoising with Shape-Adaptive Principal Component Analysis”, Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'09), Saint-Malo, France, April 2009. https://hal.inria.fr/inria-00369582 Matlab software 

A. Foi, “Practical denoising of clipped or overexposed noisy images”, Proc. 16th European Signal Process. Conf., EUSIPCO 2008, Lausanne, Switzerland, August 2008. Matlab software 

A. Danielyan, A. Foi, V. Katkovnik, and K. Egiazarian, “Image Upsampling Via Spatially Adaptive Block-Matching Filtering”, Proc. 16th European Signal Process. Conf., EUSIPCO 2008, Lausanne, Switzerland, August 2008.

D. Paliy, A. Foi, R. Bilcu, V. Katkovnik, and K. Egiazarian, “Joint deblurring and demosaicing of Poissonian Bayer-data based on local adaptivity”, Proc. 16th European Signal Process. Conf., EUSIPCO 2008, Lausanne, Switzerland, August 2008.

G. Boracchi and A. Foi, “Multiframe raw-data denoising based on block-matching and 3-D filtering for low-light imaging and stabilization”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2008, Lausanne, Switzerland, August 2008.

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, “Nonparametric regression in imaging: from local kernel to multiple-model nonlocal collaborative filtering”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2008, Lausanne, Switzerland, August 2008.

A. Danielyan, A. Foi, V. Katkovnik, and K. Egiazarian, “Image and video super-resolution via spatially adaptive block-matching filtering”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2008, Lausanne, Switzerland, August 2008.

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “A nonlocal and shape-adaptive transform-domain collaborative filtering”, Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2008, Lausanne, Switzerland, August 2008.

V. Katkovnik, A. Foi, K. Dabov, and K. Egiazarian, “Spatially adaptive support as a leading model-selection tool for image filtering”, Proc. First Workshop Inf. Th. Methods Sci. Eng., WITMSE, Tampere, August 2008.

A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian, “Practical Poissonian-Gaussian noise modeling and fitting for single image raw-data”, IEEE Trans. Image Process., vol. 17, no. 10, pp. 1737-1754, October 2008. https://doi.org/10.1109/TIP.2008.2001399 Matlab software 

D. Paliy, A. Foi, R. Bilcu, V. Katkovnik, “Denoising and interpolation of noisy Bayer data with adaptive cross-color filters”, SPIE-IS&T Electronic Imaging, Visual Communications and Image Processing 2008, vol. 6822, no. 68221K, San Jose (CA), USA, January 2008. https://doi.org/10.1117/12.766217

G. Boracchi, A. Foi, V. Katkovnik, and K. Egiazarian, “Deblurring Noisy Radial-Blurred Images: a spatially adaptive filtering approach,” Proc. SPIE Electronic Imaging '08, vol. 6812, no. 68121D, San Jose (CA), USA, January 2008. https://doi.org/10.1117/12.769400

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image restoration by sparse 3D transform-domain collaborative filtering,” Proc. SPIE Electronic Imaging '08, vol. 6812, no. 681207, San Jose (CA), USA, January 2008. https://doi.org/10.1117/12.766355 Matlab software 

A. Foi, Pointwise shape-adaptive DCT image filtering and signal-dependent noise estimation, Tampere University of Technology, Publication 710, ISBN 978-952-15-1922-2, December 2007.    

A. Foi, S. Alenius, V. Katkovnik, and K. Egiazarian, “Noise measurement for raw-data of digital imaging sensors by automatic segmentation of non-uniform targets”, IEEE Sensors Journal, vol. 7, no. 10, pp. 1456-1461, October 2007. https://doi.org/10.1109/JSEN.2007.904864

A. Foi, V. Katkovnik, and K. Egiazarian, “Signal-dependent noise removal in Pointwise Shape-Adaptive DCT domain with locally adaptive variance”, Proc. 15th European Signal Process. Conf., EUSIPCO 2007, Poznan, September 2007.

A. Foi, “Spatially adaptive local approximations in signal and image processing: varying-scale polynomials, anisotropic adaptation, shape-adaptive transforms”, Lecture notes of the tutorial at the 15th European Signal Process. Conf., EUSIPCO 2007, Poznan, September 2007.

V. Katkovnik, A. Foi, K. Egiazarian, “Mix-distribution modeling for overcomplete denoising”, Proc. 9th workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP'07), St. Petersburg, Russia, August, 29-31, 2007.

A. Foi, V. Katkovnik, and K. Egiazarian, “Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images”, IEEE Trans. Image Process., vol. 16, no. 5, pp. 1395-1411, May 2007. https://doi.org/10.1109/TIP.2007.891788 Matlab software 

K. Egiazarian, A. Foi, and V. Katkovnik, “Compressed Sensing Image Reconstruction via Recursive Spatially Adaptive Filtering”, Proc. IEEE Int. Conf. Image Process., ICIP 2007, San Antonio (TX), USA, pp. 549-552, September 2007. https://doi.org/10.1109/ICIP.2007.4379013 Matlab software 

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Joint image sharpening and denoising by 3D transform-domain collaborative filtering,” Proc. 2007 Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2007, Moscow, Russia, September 2007. Matlab software 

K. Dabov, A. Foi, and K. Egiazarian, “Video denoising by sparse 3D transform-domain collaborative filtering,” Proc. 15th European Signal Processing Conference, EUSIPCO 2007, Poznan, Poland, September 2007. Matlab software 

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space,” Proc. IEEE Int. Conf. Image Process., ICIP 2007, San Antonio, TX, USA, September 2007. https://doi.org/10.1109/ICIP.2007.4378954 Matlab software 

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007. https://doi.org/10.1109/TIP.2007.901238 Matlab software 

O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range Imaging: The Luminance-Chrominance Approach”, Int. J. Imaging Systems and Technology (IJIST), Special Issue on Applied Color Image Processing, vol. 17, no. 3, pp. 152-162, October 2007. https://doi.org/10.1002/ima.20115

O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range (HDR) Imaging in Luminance-Chrominance Space”, Proc. Third Int. Workshop on Video Processing and Quality Metrics for Consumer Electronics, VPQM2007, Scottsdale (AZ), USA, January 2007.

A. Foi, V. Katkovnik, and K. Egiazarian, “Pointwise Shape-Adaptive DCT for high-quality deblocking of compressed color images”, Proc. 14th European Signal Process. Conf., EUSIPCO 2006, Florence, September 2006. Matlab software 

A. Foi and V. Katkovnik, “From local polynomial approximation to pointwise shape-adaptive transforms: an evolutionary nonparametric regression perspective”, Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2006, Florence, September 2006.

A. Foi, S. Alenius, M. Trimeche, and V. Katkovnik, “Adaptive-size block transforms for Poissonian image deblurring”, Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2006, Florence, September 2006.

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Inverse halftoning by pointwise shape-adaptive DCT regularized deconvolution”, Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2006, Florence, September 2006. Matlab software 

A. Foi, R. Bilcu, V. Katkovnik, and K. Egiazarian, “Adaptive-size block transforms for signal-dependent noise removal”, Proc. 7th Nordic Signal Processing Symposium, NORSIG 2006, Reykjavik, Iceland, June 7-9, 2006.

A. Foi, K. Dabov, V. Katkovnik, and K. Egiazarian, “Shape-Adaptive DCT for denoising and image reconstruction”, Proc. SPIE Electronic Imaging 2006, Image Processing: Algorithms and Systems V, 6064A-18, San Jose, CA, January 2006. Matlab software 

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising with block-matching and 3D filtering,” Proc. SPIE Electronic Imaging '06, no. 6064A-30, San Jose, California, USA, January 2006. Matlab software 

A. Foi, V. Katkovnik, D. Paliy, K. Egiazarian, M. Trimeche, S. Alenius, R. Bilcu, M. Vehviläinen, “Apparatus, method, mobile station and computer program product for noise estimation, modeling and filtering of a digital image”, United States Patent 7,652,788, granted January 26, 2010 (Applications no. 11/426,128, June 23, 2006, and no. 11/519,722, September 11, 2006).

A. Foi, V. Katkovnik, and K. Egiazarian, “Pointwise Shape-Adaptive DCT denoising with structure Preservation in Luminance-Chrominance Space”, Proc. of the 2nd Int. Workshop on Video Process. and Quality Metrics for Consumer Electronics, VPQM2006, Scottsdale, AZ, January 2006. Matlab software 

A. Boev, A. Foi, K. Egiazarian, and V. Katkovnik, “Adaptive scales as a structural similarity indicator for image quality assessment”, Proc. of the 2nd Int. Workshop on Video Process. and Quality Metrics for Consumer Electronics, VPQM2006, Scottsdale, AZ, January 2006.

A. Shulev, A. Gotchev, A. Foi, and I.R. Roussev, “Threshold selection in transform-domain denoising of speckle pattern fringes”, Proc. SPIE 6252 (Holography 2005: Int. Conf. on Holography, Optical Recording, and Processing of Information), pp. 625220.1-625220.7, 2006.

A. Foi, Anisotropic nonparametric image processing: theory, algorithms and applications, Ph.D. Thesis, Dip. di Matematica, Politecnico di Milano, April 2005.         Biblioteca Nazionale Centrale di Firenze       Introduction and Table of Contents (html) Matlab software 

A. Foi, S. Alenius, M. Trimeche, V. Katkovnik, and K. Egiazarian, “A spatially adaptive Poissonian image deblurring”, Proc. of IEEE 2005 Int. Conf. Image Processing, ICIP 2005, Genova, September 2005.

A. Foi, R. Bilcu, V. Katkovnik, and K. Egiazarian, “Anisotropic local approximations for pointwise adaptive signal-dependent noise removal”, Proc. XIII European Signal Process. Conf., EUSIPCO 2005, Antalya, September 2005. Matlab software 

A. Foi, V. Katkovnik, and K. Egiazarian, “Pointwise Shape-Adaptive DCT as an overcomplete denoising tool”, Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2005, Riga, 2005. Matlab software 

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, “Anisotropic local likelihood: theory, algorithms, applications”, Proc. of El. Imaging 2005: Image Processing: Algorithms and Systems IV, 5672-19, 2005. Matlab software 

C. Ercole, A. Foi, V. Katkovnik, and K. Egiazarian, “Spatio-temporal pointwise adaptive denoising of video: 3D non-parametric regression approach”, Proc. of the 1st Int. Workshop on Video Process. and Quality Metrics for Consumer Electronics, VPQM2005, 2005.

A. Foi, V. Katkovnik, K. Egiazarian, and J. Astola, “A novel anisotropic local polynomial estimator based on directional multiscale optimizations”, Proc. of the 6th IMA Int. Conf. Math. in Signal Processing, Cirencester (UK), pp. 79-82, 2004. Matlab software 

A. Foi, V. Katkovnik, K. Egiazarian, and J. Astola, “Inverse halftoning based on the anisotropic LPA-ICI deconvolution”, Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2004, Vienna, pp. 49-56, 2004. Matlab software 

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, “Directional varying scale approximations for anisotropic signal processing”, Proc. of XII European Signal Process. Conf., EUSIPCO 2004, pp. 101-104, 2004. Matlab software 

A. Foi, Piastrellamenti di spazi di Banach, (in italian, english title: Tilings of Banach spaces) Tesi di Laurea in Matematica, Dipartimento di Matematica, Università degli Studi di Milano, 2001.