Date : 13 Aug 2012
Time : 11:00 am - 12:00 noon
Venue : Room PQ703, 7/Floor, PQ core, Mong Man Wai Building
The Hong Kong Polytechnic University

Abstract:

Wavelets have been very successfull for many astronomical applications such filtering, deconvolution, source detection or compression. Wavelets have however some limitations when the data present anisotropic features, and other sparse representations such as ridgelet or curvelet can also be used in some specific applications. We will first review some of the sparsity based methods which have been proposed and we will show how such approaches can be used in important international spatial projects such as PLANCK or EUCLID.

The Speaker:

Jean-Luc Starck is a Senior Scientist at the Institute of Research into the Fundamental Laws of the Universe, CEA-Saclay, France. He got the Ph.D from Nice Observatory and an Habilitation from University Paris XI.

He was a visitor at the European Southern Observatory (ESO) in 1993, at UCLA in 2004 and at Stanford's statistics department in 2000 and 2005. He has been a Researcher since 1994 at CEA-Saclay, Institute of Research into the Fundamental Laws of the Universe. His research interests include image processing, statistical methods in astrophysics and cosmology. He is an expert in multiscale methods such wavelets and curvelets. He is leader of the CosmoStat laboratory at CEA and he is involved in PLANCK and EUCLID ESA project. He has published more than 100 papers in different areas in scientific journals and he is also author of three books entitled Image Processing and Data Analysis: the Multiscale Approach(Cambridge University Press, 1998), Astronomical Image and Data Analysis (Springer, 2nd edition, 2006) and Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity (Cambridge University Press, 2010). For more information visit his personal web page at http://jstarck.free.fr ( mhtml:31B1B398-D322-4AEF-AF56-9A6B85C20F0Emid://00005537/!x-usc:http://jstarck.free.fr/ )
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Contact: Prof. George Baciu
Email: csgeorge@comp.polyu.edu.hk
Tel : 2766-7295 or 2766-7272