World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8498
World Ranking
6521
National Ranking
152

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to compression and communication of remotely sensed imagery

Overview

Enrico Magli is affiliated with the Polytechnic University of Turin in Italy, where research activities span multiple disciplines including computer science, engineering, and physics and astronomy. Their work includes a significant focus on computer vision, pattern recognition, and the application of advanced imaging techniques to various scientific and engineering challenges.

The scientist's main fields of study include:

  • Computer Science
  • Engineering
  • Physics and Astronomy

Within these broader areas, Magli's research extends into specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Astronomy and Astrophysics
  • Media Technology
  • Computational Mechanics
  • Aerospace Engineering

The central topics they work on cover areas related to image processing and astrophysical phenomena:

  • Solar and Space Plasma Dynamics
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Stellar, Planetary, and Galactic Studies
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis

Enrico Magli has published in a variety of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Astronomy and Astrophysics
  • IEEE Access
  • International Conference on Space Optics - ICSO 2020
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers by Magli include:

  • "Metis: the Solar Orbiter visible light and ultraviolet coronal imager," 2020, Springer Link (Chiba Institute of Technology)
  • "First light observations of the solar wind in the outer corona with the Metis coronagraph," 2021, Astronomy and Astrophysics
  • "Permutation invariance and uncertainty in multitemporal image super-resolution," 2021, arXiv (Cornell University)
  • "Learning Robust Graph-Convolutional Representations for Point Cloud Denoising," 2020, IEEE Journal of Selected Topics in Signal Processing
  • "The CCSDS 123.0-B-2 'Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression' Standard: A comprehensive review," 2021, IEEE Geoscience and Remote Sensing Magazine

Magli collaborates regularly with several co-authors, notably:

  • Diego Valsesia
  • Silvano Fineschi
  • G. Nicolini
  • Roberto Susino
  • Tiziano Bianchi

Recognition of Magli's contributions includes being named an IEEE Fellow in 2017 for work in compression and communication of remotely sensed imagery.

Best Publications

  • Transform Coding Techniques for Lossy Hyperspectral Data Compression

    B. Penna;T. Tillo;E. Magli;G. Olmo

  • Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC

    E. Magli;G. Olmo;E. Quacchio

  • Multimedia Selective Encryption by Means of Randomized Arithmetic Coding

    M. Grangetto;E. Magli;G. Olmo

  • Metis: the Solar Orbiter visible light and ultraviolet coronal imager

    Ester Antonucci;Marco Romoli;Marco Romoli;Vincenzo Andretta;Silvano Fineschi

  • Distributed Compressed Sensing

    Giulio Coluccia;Chiara Ravazzi;Enrico Magli

  • DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images

    Andrea Bordone Molini;Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Progressive 3-D coding of hyperspectral images based on JPEG 2000

    B. Penna;T. Tillo;E. Magli;G. Olmo

  • Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives

    Giulia Fracastoro;Enrico Magli;Giovanni Poggi;Giuseppe Scarpa

  • Deep Graph-Convolutional Image Denoising

    Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Optimization and implementation of the integer wavelet transform for image coding

    M. Grangetto;E. Magli;M. Martina;G. Olmo

  • Analysis of One-Time Random Projections for Privacy Preserving Compressed Sensing

    Tiziano Bianchi;Valerio Bioglio;Enrico Magli

  • Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation

    S. Belfiore;M. Grangetto;E. Magli;G. Olmo

  • Energy consumption and image quality in wireless video-surveillance networks

    C.-F. Chiasserini;E. Magli

  • A Tutorial on Image Compression for Optical Space Imaging Systems

    Ian Blanes;Enrico Magli;Joan Serra-Sagrista

  • Low-complexity video compression for wireless sensor networks

    E. Magli;M. Mancin;L. Merello

  • Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

    Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Graph Spectral Image Processing

    Gene Cheung;Enrico Magli;Yuichi Tanaka;Michael K. Ng

  • Network Coding Meets Multimedia: A Review

    Enrico Magli;Mea Wang;Pascal Frossard;Athina Markopoulou

  • Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents

    M.C.O. Bogino;P. Cataldi;M. Grangetto;E. Magli

  • Error-Resilient and Low-Complexity Onboard Lossless Compression of Hyperspectral Images by Means of Distributed Source Coding

    A. Abrardo;M. Barni;E. Magli;F. Nencini

  • Compressed Fingerprint Matching and Camera Identification via Random Projections

    Diego Valsesia;Giulio Coluccia;Tiziano Bianchi;Enrico Magli

Frequent Co-Authors

Tiziano Bianchi
Tiziano Bianchi Polytechnic University of Turin
Mauro Barni
Mauro Barni University of Siena
Franco Bartolini
Franco Bartolini University of Florence
Andrea Garzelli
Andrea Garzelli University of Siena
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Gene Cheung
Gene Cheung York University
Marco Velli
Marco Velli University of California, Los Angeles
Joachim Woch
Joachim Woch Max Planck Society
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin

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