
Sparse Representations and Compressive Sensing for Imaging and Vision
Springer (Publisher)
Published on 8. February 2013
Book
Paperback/Softback
X, 102 pages
978-1-4614-6380-1 (ISBN)
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.
More details
Series
Edition
2013 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
41 s/w Abbildungen
X, 102 p. 41 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 7 mm
Weight
184 gr
ISBN-13
978-1-4614-6380-1 (9781461463801)
DOI
10.1007/978-1-4614-6381-8
Schweitzer Classification
Other editions
Additional editions

Vishal M. Patel | Rama Chellappa
Sparse Representations and Compressive Sensing for Imaging and Vision
E-Book
02/2013
1st Edition
Springer
€64.19
Available for download
Content
Introduction.- Compressive Sensing.- Compressive Acquisition.- Compressive Sensing for Vision.- Sparse Representation-based Object Recognition.- Dictionary Learning.- Concluding Remarks.