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Compressed Sensing with Side Information on the Feasible Region [[electronic resource] /] / by Mohammad Rostami



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Autore: Rostami Mohammad Visualizza persona
Titolo: Compressed Sensing with Side Information on the Feasible Region [[electronic resource] /] / by Mohammad Rostami Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (77 p.)
Disciplina: 005.746
Soggetto topico: Optical data processing
Signal processing
Image processing
Speech processing systems
Statistical physics
Dynamical systems
Computer mathematics
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Image and Speech Processing
Complex Systems
Computational Science and Engineering
Statistical Physics and Dynamical Systems
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Compressed Sensing -- Compressed Sensing with Side Information on Feasible Region -- Application: Image Deblurring for Optical Imaging -- Application: Surface Reconstruction in Gradient Field -- Conclusions and Future Work.
Sommario/riassunto: 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.
Titolo autorizzato: Compressed Sensing with Side Information on the Feasible Region  Visualizza cluster
ISBN: 3-319-00366-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910741174903321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Electrical and Computer Engineering, . 2191-8112