Sparse Representations and Compressive Sensing for Imaging and Vision (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	February 2013
First published:	2013
Authors:	Vishal M. Patel • Rama Chellappa
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	102
Edition:	2013 ed.
ISBN-13:	978-1-4614-6380-1
Categories:	Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-4614-6380-7
Barcode:	9781461463801

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