2010

Sparse and Redundant Representations

From Theory to Applications in Signal and Image Processing

Authors:

ISBN: 978-1-4419-7010-7 (Print) 978-1-4419-7011-4 (Online)

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xx

  2. Sparse and Redundant Representations – Theoretical and Numerical Foundations

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-15

      Prologue

    3. No Access

      Book Chapter

      Pages 17-33

      Uniqueness and Uncertainty

    4. No Access

      Book Chapter

      Pages 35-54

      Pursuit Algorithms – Practice

    5. No Access

      Book Chapter

      Pages 55-77

      Pursuit Algorithms – Guarantees

    6. No Access

      Book Chapter

      Pages 79-109

      From Exact to Approximate Solutions

    7. No Access

      Book Chapter

      Pages 111-136

      Iterative-Shrinkage Algorithms

    8. No Access

      Book Chapter

      Pages 137-151

      Towards Average PerformanceAnalysis

    9. No Access

      Book Chapter

      Pages 153-166

      The Dantzig-Selector Algorithm

  3. From Theory to Practice – Signal and Image Processing Applications

    1. Front Matter

      Pages 167-167

    2. No Access

      Book Chapter

      Pages 169-184

      Sparsity-Seeking Methods in Signal Processing

    3. No Access

      Book Chapter

      Pages 185-200

      Image Deblurring – A Case Study

    4. No Access

      Book Chapter

      Pages 201-225

      MAP versus MMSE Estimation

    5. No Access

      Book Chapter

      Pages 227-246

      The Quest for a Dictionary

    6. No Access

      Book Chapter

      Pages 247-271

      Image Compression – Facial Images

    7. No Access

      Book Chapter

      Pages 273-307

      Image Denoising

    8. No Access

      Book Chapter

      Pages 309-357

      Other Applications

    9. No Access

      Book Chapter

      Pages 359-361

      Epilogue

  4. Back Matter

    Pages 363-376