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Sparse Representations and Compressive Sensing for Imaging and Vision
Vishal M. Patel
Rama Chellappa
出版
Springer Science & Business Media
, 2013-02-11
主題
Technology & Engineering / Electronics / General
Computers / Software Development & Engineering / Computer Graphics
Technology & Engineering / Imaging Systems
Technology & Engineering / Electrical
Computers / Optical Data Processing
ISBN
1461463815
9781461463818
URL
http://books.google.com.hk/books?id=_ZVAAAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.