Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadii

ISBN 10: 0521119138 / ISBN 13: 9780521119139

Verlag: Cambridge University Press, 2010

Beschreibung

Ex library with typical labeling on spine, cover, inside cover. Main pages crisp and unmarked.

Bestandsnummer des Verkäufers 1127089

Bibliografische Details

• Titel: Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 0521119138
• ISBN-13: 9780521119139
• Einband: Hard cover
• Zustand: Good
• Zustand des Schutzumschlags: No jacket
• Verkäuferkataloge:
  • Mathematics

Über diesen Titel

Inhaltsangabe

Presents the state of the art in sparse and multiscale image and signal processing.

Über die Autorinnen und Autoren

Jean-Luc Starck is a researcher at the Institute of Research into the Fundamental Laws of the Universe (IRFU), CEA-Saclay. He holds a Ph.D. from the University of Nice-Sophia Antipolis and Observatory of Côte d'Azur and a habilitation degree from the University Paris XI. He is a former visiting researcher at the European Southern Observatory (ESO), UCLA, and the Statistics Department at Stanford University. His research interests include image processing, statistical methods in astrophysics, and cosmology. He is also author of two books, entitled Image Processing and Data Analysis: The Multiscale Approach and Astronomical Image and Data Analysis.

Fionn Murtagh directs Ireland's Science Foundation funding programs in Information and Communications Technologies and Energy. He holds a Ph.D. from the Université Paris 6 and a habilitation from Université de Strasbourg. Murtagh held professorial chairs at the University of Ulster, Queen's University Belfast, and now at Royal Holloway, University of London. He is a Fellow of the International Association for Pattern Recognition, a Fellow of the British Computer Society, and an elected Member of the Royal Irish Academy.

Jalal M. Fadili graduated from the Ecole Nationale Supérieure d'Ingénieurs (ENSI) de Caen, France, and received MSc and Ph.D. degrees in signal and image processing from the University of Caen. He was a Research Associate with the University of Cambridge (McDonnell–Pew Fellow) from 1999 to 2000. He has been an Associate Professor of signal and image processing since September 2001 at ENSI. He was a visitor at several universities (QUT-Australia, Stanford University, CalTech, EPFL). His research interests include mathematical signal and image processing, statistics, optimization theory, and sparse representations.