EAN: 9783319003658

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

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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