Sparse Representations and Compressive Sensing for Imaging and Vision

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Sparse Representations and Compressive Sensing for Imaging and Vision is written by Vishal M. Patel and published by Springer Science & Business Media. It's available with International Standard Book Number or ISBN identification 1461463815 (ISBN 10) and 9781461463818 (ISBN 13).

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.