ENGLISH

Sparse representations and compressive sensing for imaging and vision

By Vishal M. Patel , Rama Chellappa (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-6380-1, 978-1-4614-6381-8
DOI
10.1007/978-1-4614-6381-8
Language
english
Format
PDF
Filesize
2 MB (2440796 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
102\111
Library
Kolxo3
Time added
2013-12-29 19:00:00
Image and Speech Processing; Image Processing andSignal

Description

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.

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