Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-6108-897X
Scopus Author ID: 57203072257
Google Scholar Profile: BlEbdeEAAAAJ
Impact
Biography
Career
Jean-Michel Morel has been in turn a PhD student at Université Paris IV, a postdoc at SISSA (Trieste, Italy), a teaching assistant at Université de Marseille Luminy, an assistant professor at Université Paris Dauphine, and is currently a professor at Ecole Normale Supérieure Paris-Saclay. He has also been for 20 years a permanent visiting professor at Universitat Illes Balears , and a recurrent invited professor at University of California at Los Angeles and at Duke University. His main interests are the mathematical theory and the algorithms of image analysis and image processing. In September 2023, he has joined CityU as chair professor in imaging science.
Achievements
At ENS Paris Saclay, Jean-Michel Morel has led a team of 30 researchers on the mathematical analysis of image processing and the invention of new algorithms. This team has collaborated with French Space Agency for the design of Earth observation satellites (SPOT5, Pleiades, CSO, SMOS-HR). The image denoising algorithms co-invented by JMM are implemented in more than 700 million cameraphones by DxO Labs, a world leader in software and hardware for cameras. In 2011 JMM founded Image Processing on Line (www.ipol.im), the first journal publishing reproducible algorithms in online executable articles. IPOL has collaborators in 15 universities and its public archives contain 500000 online experiments.
Research
Jean-Michel Morel is a mathematician trained in nonlinear analysis with a PhD and a doctorat d’état on partial differential equations and variational methods under the guidance of Haïm Brezis. Then he developed an axiomatic theory of image analysis to derive and analyze the new PDEs and variational models arising in these fields. Working on the efficient numerical implementation of these algorithms, he has progressively become a specialist of image processing, and has invented several algorithms now widespread in software and hardware. He is the initiator of nonlocal methods in image processing. Interested in image analysis as well, he has proposed a statistical theory of perception inspired from Gestalt theory and psychophysics. This theory has also found many applications for the automatic detection of objects in images and video. In recent years, he has focused on the technological, methodological and editorial changes in applied mathematics required by the development of the web, namely the possibility to publish algorithms in online executable form. This led him to found IPOL, image processing online, www.ipol.im.
Jean-Michel Morel is a mathematician trained in nonlinear analysis with a PhD and a doctorat d’état on partial differential equations and variational methods under the guidance of Haïm Brezis. Then he developed an axiomatic theory of image analysis to derive and analyze the new PDEs and variational models arising in these fields. Working on the efficient numerical implementation of these algorithms, he has progressively become a specialist of image processing, and has invented several algorithms now widespread in software and hardware. He is the initiator of nonlocal methods in image processing. Interested in image analysis as well, he has proposed a statistical theory of perception inspired from Gestalt theory and psychophysics. This theory has also found many applications for the automatic detection of objects in images and video. In recent years, he has focused on the technological, methodological and editorial changes in applied mathematics required by the development of the web, namely the possibility to publish algorithms in online executable form. This led him to found IPOL, image processing online, www.ipol.im.
Related Links
Education/Academic qualification
PhD, Universite Pierre et Marie Curie
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
Fingerprint
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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BézierFormer: Affine-Invariant Shape Classification via Control Point Attention
Liu, X., Morel, J.-M. & He, R. Y., Aug 2026, In: Journal of Mathematical Imaging and Vision. 68, 4, 15 p., 35.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile2 Downloads (CityUHK Scholars) -
Edge-adaptive curvature-based regularization for robust blind image restoration
Zhang, T., Lu, J., Wu, C., Duan, Y., Liu, J., Zeng, T., Jin, Q., Chen, G., Morel, J.-M., Wu, B. & Facciolo, G., 15 Mar 2026, In: Physics Letters, Section A: General, Atomic and Solid State Physics. 572, 15 p., 131300.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Improving OCR Using Internal Document Redundancy
Belzarena, D. (Co-first Author), Mowlavi, S. (Co-first Author), Artola, A., Mariño, C., Gardella, M., Ramírez, I., Tadros, A., He, R., Bottaioli, N., Rajaei, B., Randall, G. & Morel, J.-M., 2026, Document Analysis and Recognition – ICDAR 2025: 19th International Conference, Wuhan, China, September 16–21, 2025, Proceedings, Part IV. Yin, X.-C., Karatzas, D. & Lopresti, D. (eds.). Cham: Springer , p. 244-260 (Lecture Notes in Computer Science; vol. 16026 ).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
1 Link opens in a new tab Citation (Scopus) -
LAMIGAUSS: PITCHING RADIATIVE GAUSSIAN FOR SPARSE-VIEW X-RAY LAMINOGRAPHY RECONSTRUCTION
Chen, C., Biguri, A., Morel, J.-M., Chan, R. H., Schönlieb, C.-B. & Li, J., 21 Apr 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings. IEEE, p. 11492-11496 (IEEE International Conference on Acoustics, Speech, and Signal Processing proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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A Brief Analysis of the Change Detector by Kervrann et al.
Dagobert, T., Morel, J.-M. & Facciolo, G., 2025, In: Image Processing On Line. 15, p. 163-175 13 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile3 Downloads (CityUHK Scholars)
Projects
- 1 Finished
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GRF: Mathematical Formalization of Global Image Segmentation
MOREL, J.-M. H. O. (Principal Investigator / Project Coordinator)
1/01/26 → 1/01/26
Project: Research
Prizes
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Stanford's top 2% most highly cited scientists 2024
MOREL, J.-M. H. O. (Recipient), Sept 2024
Prize: RGC 64B - Prizes and awards
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Doctor Honoris Causa of U. de la Republica Montevideo
MOREL, J.-M. H. O. (Recipient), 2018
Prize: RGC 64B - Prizes and awards
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Prix INRIA – French Academy of Science
MOREL, J.-M. H. O. (Recipient), 2013
Prize: RGC 64B - Prizes and awards