基本信息
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职业迁徙
个人简介
Jean-Michel Morel leads a team of 25 researchers on the mathematical analysis of image processing and the invention of new algorithms. This team collaborates with French Space Agency for the design of Earth observation satellites (SPOT5, Pleiades, OTOS, 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 300000 online experiments.
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 videoIn 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. To complete his exploration of images, Jean-Michel Morel proposes to develop mathematical models to classify the space of perceptual images. He uses computer graphics techniques to build image synthesis algorithms to explore abstract textures, shapes and images, and to develop a computational theory of decorative and abstract art.
JMM’s recent awards: 2010 Clay Scholar in Residence, European Research Council advanced grant 2010, Grand Prix INRIA – French Academy of Science 2013, CNRS Médaille de l'innovation 2015.
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 videoIn 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. To complete his exploration of images, Jean-Michel Morel proposes to develop mathematical models to classify the space of perceptual images. He uses computer graphics techniques to build image synthesis algorithms to explore abstract textures, shapes and images, and to develop a computational theory of decorative and abstract art.
JMM’s recent awards: 2010 Clay Scholar in Residence, European Research Council advanced grant 2010, Grand Prix INRIA – French Academy of Science 2013, CNRS Médaille de l'innovation 2015.
研究兴趣
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INVERSE PROBLEMS AND IMAGINGno. 3 (2024): 571-599
2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIPpp.1765-1769, (2023)
2023 IEEE Conference on Antenna Measurements and Applications (CAMA)pp.457-462, (2023)
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IMAGE PROCESSING ON LINE (2023): 22-37
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.6557-6560, (2023)
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.5704-5707, (2023)
CoRR (2023)
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J. Comput. Appl. Math. (2023): 115330-115330
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