Sparse Representations and Compressive Sensing for Imaging and Vision

Buch | Softcover
102 Seiten
2013 | 2013 ed.
Springer-Verlag New York Inc.
978-1-4614-6380-1 (ISBN)

Lese- und Medienproben

Sparse Representations and Compressive Sensing for Imaging and Vision - Vishal M. Patel, Rama Chellappa
64,19 inkl. MwSt
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal.  These measurements are usually much smaller than the number of samples that define the signal.  From these small numbers of measurements, the signal is then reconstructed by non-linear procedure.  Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways.  In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

Introduction.- Compressive Sensing.- Compressive Acquisition.- Compressive Sensing for Vision.- Sparse Representation-based Object Recognition.- Dictionary Learning.- Concluding Remarks.

Reihe/Serie SpringerBriefs in Electrical and Computer Engineering
Zusatzinfo 41 Illustrations, black and white; X, 102 p. 41 illus.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte biometrics • compressed sensing • Dictionary Learning • Imaging • Object recognition • Sparse Representation
ISBN-10 1-4614-6380-7 / 1461463807
ISBN-13 978-1-4614-6380-1 / 9781461463801
Zustand Neuware
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