Book contents
- Frontmatter
- Contents
- Acronyms
- Notation
- Preface
- 1 Introduction to the World of Sparsity
- 2 The Wavelet Transform
- 3 Redundant Wavelet Transform
- 4 Nonlinear Multiscale Transforms
- 5 The Ridgelet and Curvelet Transforms
- 6 Sparsity and Noise Removal
- 7 Linear Inverse Problems
- 8 Morphological Diversity
- 9 Sparse Blind Source Separation
- 10 Multiscale Geometric Analysis on the Sphere
- 11 Compressed Sensing
- References
- List of Algorithms
- Index
- Plate section
6 - Sparsity and Noise Removal
Published online by Cambridge University Press: 06 July 2010
- Frontmatter
- Contents
- Acronyms
- Notation
- Preface
- 1 Introduction to the World of Sparsity
- 2 The Wavelet Transform
- 3 Redundant Wavelet Transform
- 4 Nonlinear Multiscale Transforms
- 5 The Ridgelet and Curvelet Transforms
- 6 Sparsity and Noise Removal
- 7 Linear Inverse Problems
- 8 Morphological Diversity
- 9 Sparse Blind Source Separation
- 10 Multiscale Geometric Analysis on the Sphere
- 11 Compressed Sensing
- References
- List of Algorithms
- Index
- Plate section
Summary
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- Type
- Chapter
- Information
- Sparse Image and Signal ProcessingWavelets, Curvelets, Morphological Diversity, pp. 119 - 148Publisher: Cambridge University PressPrint publication year: 2010