Sparse Representations and Compressive Sensing for Imaging and Vision

Rama Chellappa

ISBN 10: 1461463807 / ISBN 13: 9781461463801

Edité par Springer New York, Springer US Feb 2013, 2013

A propos de cet article

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 112 pp. Englisch.

N° de réf. du vendeur 9781461463801

Détails bibliographiques

• Titre: Sparse Representations and Compressive Sensing for Imaging and Vision
• Éditeur: Springer New York, Springer US Feb 2013
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1461463807
• ISBN à 13 chiffres: 9781461463801
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.