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Sparse Representations and Compressive Sensing for Imaging and Vision
Details
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.
Includes supplementary material: sn.pub/extras
Inhalt
Introduction.- Compressive Sensing.- Compressive Acquisition.- Compressive Sensing for Vision.- Sparse Representation-based Object Recognition.- Dictionary Learning.- Concluding Remarks.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781461463801
- Genre Elektrotechnik
- Auflage 2013
- Sprache Englisch
- Lesemotiv Verstehen
- Anzahl Seiten 112
- Größe H235mm x B155mm x T7mm
- Jahr 2013
- EAN 9781461463801
- Format Kartonierter Einband
- ISBN 1461463807
- Veröffentlichung 08.02.2013
- Titel Sparse Representations and Compressive Sensing for Imaging and Vision
- Autor Rama Chellappa , Vishal M. Patel
- Untertitel SpringerBriefs in Electrical and Computer Engineering
- Gewicht 184g
- Herausgeber Springer New York