Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part I The Essentials of Compressive Imaging
- Part II Compressed Sensing, Optimization and Wavelets
- PART III Compressed Sensing with Local Structure
- Part IV Compressed Sensing for Imaging
- 15 Sampling Strategies for Compressive Imaging
- 16 Recovery Guarantees for Wavelet-Based Compressive Imaging
- 17 Total Variation Minimization
- Part V From Compressed Sensing to Deep Learning
- Epilogue
- Appendices
- Notation
- Abbreviations
- References
- Index
17 - Total Variation Minimization
from Part IV - Compressed Sensing for Imaging
Published online by Cambridge University Press: 16 July 2021
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part I The Essentials of Compressive Imaging
- Part II Compressed Sensing, Optimization and Wavelets
- PART III Compressed Sensing with Local Structure
- Part IV Compressed Sensing for Imaging
- 15 Sampling Strategies for Compressive Imaging
- 16 Recovery Guarantees for Wavelet-Based Compressive Imaging
- 17 Total Variation Minimization
- Part V From Compressed Sensing to Deep Learning
- Epilogue
- Appendices
- Notation
- Abbreviations
- References
- Index
Summary
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- Information
- Compressive Imaging: Structure, Sampling, Learning , pp. 403 - 426Publisher: Cambridge University PressPrint publication year: 2021