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Sparse Representations and Compressive Sensing for Imaging and Vision
     

Sparse Representations and Compressive Sensing for Imaging and Vision

by Vishal M. Patel, Ramalingam Chellappa
 
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

Overview

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.

Product Details

ISBN-13:
9781461463801
Publisher:
Springer New York
Publication date:
02/28/2013
Series:
SpringerBriefs in Electrical and Computer Engineering Series
Edition description:
2013
Pages:
102
Product dimensions:
6.14(w) x 9.21(h) x 0.24(d)

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