Compressed Sensing with Side Information on the Feasible Region (SpringerBriefs in Electrical and Computer Engineering) - Softcover

Buch 36 von 209: SpringerBriefs in Electrical and Computer Engineering

Rostami, Mohammad

 
9783319003658: Compressed Sensing with Side Information on the Feasible Region (SpringerBriefs in Electrical and Computer Engineering)
Softcover
ISBN 10: 3319003658 ISBN 13: 9783319003658
Verlag: Springer, 2013

Inhaltsangabe

This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.

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Über die Autorin bzw. den Autor

Mohammad Rostami,
Singapore University of Technology and Design,
20 Dover Drive,
Singapore 138682
e-mail: m2rostam@uwaterloo.ca

Von der hinteren Coverseite

This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
3319003658
ISBN 13 
9783319003658
Einband
Taschenbuch
Anzahl der Seiten
84
Kontakt zum Hersteller
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Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783319003672: Compressed Sensing with Side Information on the Feasible Region

Vorgestellte Ausgabe

ISBN 10:  3319003674 ISBN 13:  9783319003672
Verlag: Springer, 2013
Softcover