Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)

Patel, Vishal M.; Chellappa, Rama

ISBN 10: 1461463807 / ISBN 13: 9781461463801

Edité par Springer, 2013

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N° de réf. du vendeur ABLIING23Mar2716030036961

Détails bibliographiques

• Titre: Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)
• Éditeur: Springer
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1461463807
• ISBN à 13 chiffres: 9781461463801
• Reliure: Couverture souple
• État de l'article: New

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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.