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Sparse Representations and Compressive Sensing for Imaging and Vision

Vishal M. Patel, Rama Chellappa (Autoren)

Buch | Softcover

102 Seiten

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

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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