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Alain Trémeau


Country of Birth : France
Resident : France
Title : Professor, Université Jean Monnet, Saint Etienne, France
 
Research interest : Content aware image analysis and Image recognition
Computer Vision and Computational Image Science may be defined as the study of images and the application of scientific methods to their measurement, generation, analysis and representation. It includes all types of image processing, including optical image production, sensing, digitisation, encoding, processing. To deeply understand vision and imaging systems, a mathematical and physical modelling is needed. This understanding is required for design and evaluation of different vision systems, both biological and artificial, in a unified way.

The design of efficient imaging systems has so far been guided by the criterion that “what the user cannot see does not matter”. In modern applications, this is not sufficient enough. Since e.g. it should be possible to reconstruct on display the image of a painting from a digital archive under different illuminations. From the human vision point, the problem is that visual perception is one of the most elusive and changeable of all aspects of human cognition, and depends on a multitude of factors. Successful research and development of color imaging products must therefore combine a broad understanding of psychophysical methods with a significant technical ability in mathematics and computer science. The variety of image sources and reproduction media, in combination with miscellaneous illumination and viewing conditions creates challenges to manage a predictable and consistent reproduction of color. Solving this problem not only involves understanding image appearance and its relation with regard to image quality measurements and Human Vision models.

Appreciating the principles of Human Vision models such as color image appearance models also opens the door for enhancing two other technologies in consumer imaging. A first one is image enhancement, for example by means of multiscale color image processing. A second one deals with automatic creation of tags or indices based on color aware content to classify or retrieve images in a database or on the network. A particularly important problem in digital imaging (e.g. in soft proof or in medical applications) is the consistency and predictability of the objects displayed with regard to the objects viewed. Excellent results have been achieved already under controlled illumination conditions, but it is expected that approaching this problem using multi-spectral techniques will result in a color reproduction that is more stable under different illumination conditions.

Education :
1999  Full Professor, Faculté des Sciences - Université Jean Monnet, Saint-Etienne (France).
1994  Assitant Professor, IUP Vision - Université Jean Monnet.
1993  PhD in Informatics, speciality “Image”, Université Jean Monnet.

Administration Activities :
2007/.. Coordinator of the European master ERASMUS Mundus CIMET (Color in Informatics and Media Technology) (www.master-erasmusmundus-color.eu/)

Research activities :
2009/2011 Partenariat Hubert Curien Picasso (program bilateral between France and Spain) on differences formula: supplementary test data based on
         virtual datasets and mathematical observations in cooperation with Prof. Manuel Melgosa and Raphael Huertas (Univ. of Granada).
2008/.. Member of the Laboratoire Hubert Curien , UMR CNRS 5516 , (120 staff members, including PhD students in the field of “Optics and Photonics”
          and “Computer Science and Image Processing”, Error! Hyperlink reference not valid..
2008/.. Head of the reasearch team “Color Content-Aware Image Processing”.(6 staff members, 3 PhD students) of . the Laboratoire Hubert Curien ,
          UMR CNRS 5516.
2002/2008 Head of the laboratoire LIGIV (Laboratoire d’Informatique et d’Ingénierie de la Vision, www.ligiv.org), EA 3070, a research laboratory of UJM
          specialised in “Computer Graphics, Vision Engineering and Color Imaging Science”.
2001/2005 Head of the GFINC (French Color Imaging Group) « Groupe Français de l’Imagerie Numérique Color ».
2001/2005 Representative for France of the CIE Division 8 “ImageTechnology”

Other responsabilities :
Chairman and Co-Chairman of many international conferences in the field of image processing and computational color imaging (IAPR-CCIW2009, IS&T-CGIV2010,GRAPP2008, IAPR-CCIW2007, …).
Chairman and Co-Chairman of many European Intensive School in Computer Vision (IPCV2004 Saint Etienne, IPCV2006 Budapest, IPCV2008 Joensuu) or French Winter School in Color Imaging (EHINC2005, EHINC2007, EHINC2009).

Recent Journal and Conferences publications :
1 A. Trémeau, S. Tominaga and K. Plataniotis, Color in Image and Video Processing: most recent trends and future research directions, EURASIP Journal on Image and Video Processing, Volume 2008, Article ID 581371, 26 pages, 2008.
2 A. Tremeau, Rafaël Nicolas and Éric Dinet, A measure of colour contrast correlated with human perception, Proceedings of IS&T, CGIV'2008, Terrassa, Spain, June 2008, pp 61-66..
3 D. Muselet and A.Trémeau, Compact color descriptor for object recognition across illumination changes, Proceedings of IS&T, CGIV'2008, Terrassa, Spain, June 2008, pp 352-365.
4 D. Muselet and A.Trémeau, Illumination Invariant Spatio-colorimetric normalization, In Proc. of the Int. Conf. on Pattern Recognition (ICPR'08), Tampa (Florida - USA), December 2008.
5 D. Muselet and A.Trémeau, Rank correlation as illumination invariant descriptor for color object recognition, In Proc. of the IEEE Int. Conf. on Image Processing (ICIP'08), San Diego (California - USA), October 2008.
6 A. Tremeau, Color classification in a multidimensional color space, Proceedings of IEEE, ISSPIT, Cairo, Egypt, Dec. 2007, pp 834-839.

email : alain.tremeau@univ-st-etienne.fr

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