Sparse Representations and Compressive Sensing for Imaging and Vision, 1st Edition

  • Published By:
  • ISBN-10: 1461463815
  • ISBN-13: 9781461463818
  • DDC: 621.382
  • Grade Level Range: College Freshman - College Senior
  • 102 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
1: Introduction.
2: Compressive Sensing.
3: Compressive Acquisition.
4: Compressive Sensing for Vision.
5: Sparse Representation-based Object Recognition.
6: Dictionary Learning.
7: Concluding Remarks.