World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
71
Citations
45231
World Ranking
941
National Ranking
176

Overview

Jean-Michel Morel is affiliated with City University of Hong Kong in China. Their research focuses predominantly on computer science and engineering, with key expertise in computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and modeling and simulation.

The scientist's work spans several main topics, including:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • COVID-19 epidemiological studies
  • Digital Media Forensic Detection
  • Advanced Vision and Imaging

They have contributed to numerous papers, including:

  • "Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery", 2022, Environmental Science & Technology
  • "Clinical Evidence of the Benefits of Phytonutrients in Human Healthcare", 2022, Nutrients
  • "Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery", 2021, arXiv (Cornell University)
  • "Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique", 2021, Proceedings of the National Academy of Sciences
  • "Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising", 2021, IEEE Signal Processing Letters

Frequent coauthors include:

  • Gabriele Facciolo
  • Rafael Grompone von Gioi
  • Thibaud Ehret
  • Miguel Colom
  • Carlo de Franchis

Morel has published extensively in key venues such as:

  • arXiv (Cornell University)
  • Image Processing On Line
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Mathematical Imaging and Vision

They also have contributions in book publications, including a title published by Presses Universitaires De France called La Phyto-aromathérapie in 2020.

Best Publications

  • A non-local algorithm for image denoising

    A. Buades;B. Coll;J.-M. Morel

  • A Review of Image Denoising Algorithms, with a New One

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Image selective smoothing and edge detection by nonlinear diffusion. II

    Luis Alvarez;Pierre-Louis Lions;Jean-Michel Morel

  • LSD: A Fast Line Segment Detector with a False Detection Control

    R.G. von Gioi;J. Jakubowicz;J.-M. Morel;G. Randall

  • ASIFT: A New Framework for Fully Affine Invariant Image Comparison

    Jean-Michel Morel;Guoshen Yu

  • Axioms and fundamental equations of image processing

    Luis Alvarez;Frédéric Guichard;Pierre Louis Lions;Jean Michel Morel

  • Image Selective Smoothing and Edge Detection by Nonlinear Diffusion

    Unknown

  • Non-Local Means Denoising

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Variational Methods in Image Segmentation: with seven image processing experiments

    Jean-Michel Morel;Sergio Solimini

  • Nonlocal Image and Movie Denoising

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • LSD: a Line Segment Detector

    Rafael Grompone von Gioi;Jérémie Jakubowicz;Jean-Michel Morel;Gregory Randall

  • Variational methods in image segmentation

    Jean Michel Morel;Sergio Solimini

  • Level lines based disocclusion

    S. Masnou;J.-M. Morel

  • Image Denoising Methods. A New Nonlocal Principle

    A. Buades;B. Coll;J. M. Morel

  • From Gestalt Theory to Image Analysis: A Probabilistic Approach

    Agns Desolneux;Lionel Moisan;Jean-Michel Morel

  • An axiomatic approach to image interpolation

    V. Caselles;J.-M. Morel;C. Sbert

  • ASIFT: An Algorithm for Fully Affine Invariant Comparison

    Guoshen Yu;Jean-Michel Morel

  • On image denoising methods

    Antoni Buades;Bartomeu Coll;Jean Michel Morel

  • A Nonlocal Bayesian Image Denoising Algorithm

    Marc Lebrun;Antoni Buades;Jean-Michel Morel

  • A multiscale algorithm for image segmentation by variational method

    G. Koepfler;C. Lopez;J. M. Morel

  • The staircasing effect in neighborhood filters and its solution

    A. Buades;B. Coll;J.-M. Morel

  • Edge Detection by Helmholtz Principle

    Agnès Desolneux;Lionel Moisan;Jean-Michel Morel

  • A variational method in image segmentation: Existence and approximation results

    Gianni Dal Maso;Jean-Michel Morel;Sergio Solimini

  • Fast Cartoon + Texture Image Filters

    Antoni Buades;Triet M Le;Jean-Michel Morel;Luminita A Vese

  • Shape preserving local histogram modification

    V. Caselles;J.-L. Lisani;J.-M. Morel;G. Sapiro

  • Neighborhood filters and PDE’s

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Connected components of sets of finite perimeter and applications to image processing

    Luigi Ambrosio;Vicent Caselles;Simon Masnou;Jean-Michel Morel

  • A PDE Formalization of Retinex Theory

    Jean Michel Morel;Ana Belén Petro;Catalina Sbert

  • Topographic Maps and Local Contrast Changes in Natural Images

    Vicent Caselles;Bartomeu Coll;Jean-Michel Morel

Frequent Co-Authors

Kaushik De
Kaushik De The University of Texas at Arlington
B. Gibbard
B. Gibbard Brookhaven National Laboratory
Hermann Kolanoski
Hermann Kolanoski Deutsches Elektronen-Synchrotron DESY
J. T. Linnemann
J. T. Linnemann Michigan State University

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