Sparse Representations and Compressive Sensing for Imaging and Vision

Chellappa Rama Patel Vishal M.

ISBN 10: 1461463807 ISBN 13: 9781461463801

Editorial: Springer, 2013

Idioma: Ingl�s

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Print on Demand pp. 114 41 Illus.

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Detalles bibliogr�ficos

T�tulo: Sparse Representations and Compressive Sensing for Imaging and Vision
Editor: Springer
Fecha de publicaci�n: 2013
Idioma: Ingl�s
ISBN 10: 1461463807
ISBN 13: 9781461463801
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

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.

Rese�a del editor

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.

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