TY  - BOOK
AU  - Patel,Vishal M.
AU  - Chellappa,Rama
ED  - SpringerLink (Online service)
TI  - Sparse Representations and Compressive Sensing for Imaging and Vision
T2  - SpringerBriefs in Electrical and Computer Engineering,
SN  - 9781461463818
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2013///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Engineering
KW  - Image processing
KW  - Signal, Image and Speech Processing
KW  - Image Processing and Computer Vision
N1  - Introduction -- Compressive Sensing -- Compressive Acquisition -- Compressive Sensing for Vision -- Sparse Representation-based Object Recognition -- Dictionary Learning -- Concluding Remarks
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4614-6381-8
ER  -