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Sparse Representations and Compressive Sensing for Imaging and Vision

  • Book
  • © 2013

Overview

Authors:
  1. Vishal M. Patel

    1. , Center for Automation Research, University of Maryland, College Park, USA

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  2. Rama Chellappa

    1. Center for Automation Research, University of Maryland, College Park, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • Vishal M. Patel, Rama Chellappa
    Pages 1-2

  3. Compressive Sensing

    • Vishal M. Patel, Rama Chellappa
    Pages 3-15

  4. Compressive Acquisition

    • Vishal M. Patel, Rama Chellappa
    Pages 17-40

  5. Compressive Sensing for Vision

    • Vishal M. Patel, Rama Chellappa
    Pages 41-61

  6. Sparse Representation-based Object Recognition

    • Vishal M. Patel, Rama Chellappa
    Pages 63-84

  7. Dictionary Learning

    • Vishal M. Patel, Rama Chellappa
    Pages 85-92

  8. Concluding Remarks

    • Vishal M. Patel, Rama Chellappa
    Pages 93-94

  9. Back Matter

    Pages 95-102
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Keywords

About this book

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.

Authors and Affiliations

  • , Center for Automation Research, University of Maryland, College Park, USA

    Vishal M. Patel

  • Center for Automation Research, University of Maryland, College Park, USA

    Rama Chellappa

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