Alessandro Lanza

Adv. Comput. Math., February, 2023

ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., January, 2023

Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration.

[BibT_eX]

[DOI]

J. Imaging, 2022

Whiteness-based parameter selection for Poisson data in variational image processing.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2021

Keypoint detection by wave propagation.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems.

[BibT_eX]

[DOI]

CoRR, 2021

On and beyond Total Variation regularisation in imaging: the role of space variance.

[BibT_eX]

[DOI]

CoRR, 2021

Residual Whiteness Principle for Automatic Parameter Selection in ℓ 2-ℓ 2 Image Super-Resolution Problems.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Non-convex Total Variation Regularization for Convex Denoising of Signals.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

2019

Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2019

A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2019

Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2019

Space-adaptive anisotropic bivariate Laplacian regularization for image restoration.

[BibT_eX]

[DOI]

CoRR, 2019

Space-variant Generalized Gaussian Regularization for Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2019

Space-variant generalised Gaussian regularisation for image restoration.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

2018

Convex non-convex image segmentation.

[BibT_eX]

[DOI]

Numerische Mathematik, 2018

Whiteness Constraints in a Unified Variational Framework for Image Restoration.

[BibT_eX]

[DOI]

Federica Sciacchitano

J. Math. Imaging Vis., 2018

2017

Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization.

[BibT_eX]

[DOI]

Numerische Mathematik, 2017

A Unified Framework for the Restoration of Images Corrupted by Additive White Noise.

[BibT_eX]

[DOI]

Federica Sciacchitano

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Convex Non-Convex Segmentation over Surfaces.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

Constrained TVp-ℓ2 Model for Image Restoration.

[BibT_eX]

[DOI]

J. Sci. Comput., 2016

Convex Image Denoising via Non-convex Regularization with Parameter Selection.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2016

2015

Synergistic Change Detection and Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2015

A Generalized Krylov Subspace Method for ℓp-ℓq Minimization.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2015

Variational Image Restoration with Constraints on Noise Whiteness.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2015

Convex Image Denoising via Non-Convex Regularization.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014

Image restoration with Poisson-Gaussian mixed noise.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2014

2013

Variational Image Denoising Based on Autocorrelation Whiteness.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2013

Keypoints from Symmetries by Wave Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Statistical Change Detection by the Pool Adjacent Violators Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Background subtraction by non-parametric probabilistic clustering.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Energy-aware objects abandon / removal detection.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Energy aware multimodal embedded video surveillance.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/IFIP VLSI-SoC 2010, 2010

Robust and efficient background subtraction by quadratic polynomial fitting.

[BibT_eX]

[DOI]

Federico Tombari

Proceedings of the International Conference on Image Processing, 2010

Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting.

[BibT_eX]

[DOI]

Federico Tombari

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Bayesian Loop for Synergistic Change Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

Second-Order Polynomial Models for Background Subtraction.

[BibT_eX]

[DOI]

Federico Tombari

Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

2009

On-line learning of background appearance changes for robust background subtraction.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention, 2009

Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection.

[BibT_eX]

[DOI]

Luca Soffritti

Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2007

Robust Multi-View Change Detection.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2007, 2007

2006

Detecting Changes in Grey Level Sequences by ML Isotonic Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

Long-run models of oil stock prices.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2005

Desperately seeking environmental Kuznets.

[BibT_eX]

[DOI]

Marzio Galeotti

Environ. Model. Softw., 2005

A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

A novel approach to change detection based on a coarse-to-fine strategy.

[BibT_eX]

[DOI]

Gianpaolo Capelli

Proceedings of the 2005 International Conference on Image Processing, 2005

An effective multi-stage background generation algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Coarse-to-fine strategy for robust and efficient change detectors.

[BibT_eX]

[DOI]

Proceedings of the Advanced Video and Signal Based Surveillance, 2005

2004

An efficient change detection algorithm based on a statistical non-parametric camera noise model.

[BibT_eX]

[DOI]

Proceedings of the 2004 International Conference on Image Processing, 2004

High Quality-Speed Dilemma: A Comparison Between Segmentation Methods for Traffic Monitoring Applications.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003

A Single-Scan Algorithm for Connected Components Labelling in a Traffic Monitoring Application.

[BibT_eX]

[DOI]